Aprendizaje Automático (ML) Jobs

Busco Tech Co-founder para escalar dos plataformas IA en producción (Modelo Sweat Equity / Bootstrapping) Tengo dos plataformas ya en producción, traccionando y creciendo: * Un sistema multi-agente centrado en procesos de negocio. * Un motor de evaluación UE_IA basado en Inteligencia Artificial. Actualmente el proyecto se encuentra en fase de bootstrapping, por lo que busco un Tech Co-founder que se apunte a la aventura de escalar, mantener y evolucionar ambos productos conmigo. La prioridad inmediata es asegurar el rendimiento, la estabilidad y la capacidad de crecer en usuarios sin sacrificar la velocidad de entrega de nuevas funcionalidades. Tu día a día como socio tecnológico: Girará en torno a revisar el código existente, opti...

DIGNARIA — Escudo Digital: On-device visual safety feasibility for PWA/Android We need an experienced computer-vision and web/mobile engineer to assess and prototype a privacy-preserving, on-device visual safety layer for protected video playback. Current state: - Existing draft implementation only provides a static fail-closed policy and blocks uninspectable external playback. - There is no production nudity classifier, no model weights, no Canvas/OffscreenCanvas pipeline, and no claim of device-wide protection. - The contract must remain fail-closed: any invalid output, timeout, unavailable frame, CORS/DRM restriction, or runtime failure must return UNVERIFIED and keep video paused, muted and hidden. First paid phase only — fixed-price feasibility spike: 1. Identify a tech...

Football match prediction model (Football Manager data + sports news + ML) with probabilities for betting markets **Project description** We want to build a **football match prediction oracle**. For each upcoming match, it should output **calibrated probabilities** across the main betting markets and compare them with bookmaker odds to find value bets. **Markets to cover** - 1X2 / double chance - Over/Under goals, BTTS (Goal/No Goal), correct score - Corners, cards - Player markets: anytime scorer, assist, "score and assist" - Any bettable market **Training data** - About **10,000 matches, roughly 5 seasons (2021/22 to 2025/26) across 5–6 leagues** (e.g. the top 5 European leagues plus one more). - The goal is to learn from historical outcomes how likely each event is, ...

I’m architecting an AI “pilot brain” for a drone that will undertake search-and-rescue as well as surveillance and monitoring missions. Before I commit to a full development cycle, I need an experienced mind to help me clarify the technical roadmap and avoid costly missteps. Here’s what I want from our collaboration: • A high-level system architecture that shows how perception, navigation, decision-making and control layers will interact. • Recommendations on algorithms and open-source frameworks best suited to real-time object detection, tracking and autonomous route planning in challenging, GPS-degraded environments. • Guidance on suitable onboard compute (NVIDIA Jetson, Raspberry Pi + Coral, etc.), sensor suites (RGB, thermal, LiDAR) and air...

I’m putting together a sleek one-page portfolio with these fixed sections: Home, About Me, Service, Project, and Contact. The design must feel unmistakably modern—clean typography, balanced white space, fluid scrolling, and pixel-perfect alignment across desktop and mobile. Tech stack I expect you to use: • React / for the front end • Python / FastAPI to expose all back-end endpoints • A lightweight AI/ML component for an in-page assistant (any well-known library is fine) • Optional C++/C snippets if you find performance-critical pieces that truly benefit • RESTful JSON between layers Key features to implement 1. Single-page experience: smooth in-page navigation with deep-link support. 2. AI assistant: a simple yet functional ML model runni...

I’m building a small end-to-end AI tool that first recognises what it sees in an image and then spins those findings into original science-fiction prose or poetry. Core needs The heart of the project is a solid image-recognition model—think TensorFlow or PyTorch—capable of tagging objects, settings and moods with good accuracy. Once the scene is understood, a text-generation layer (GPT-style or similar) should take those tags and weave them into creative, space-age narratives or concise poems. The writing must sound natural, imaginative and unmistakably sci-fi. What you’ll deliver • Trained image-recognition model with its labelled dataset or clear notes on the dataset used • Fine-tuned creative-writing module focused on science-fiction tone and ...

Subject: Quote request. Probabilistic calibration of a forecasting model for expected-value calculation Hello, I am looking for a statistician or a small specialised firm for a fixed-price engagement. I would like a single quote for the whole work. GOAL Correctly calculate the expected value of bets on prediction markets. Expected value comes from comparing the estimated probability of each outcome range with its market price: if that probability is poorly calibrated, expected value is wrong even when the central estimate is accurate. Calibration is therefore the core of the engagement. I am not asking for a certain prediction of the outcome, but for probabilities calibrated as well as the available data allows, with their uncertainty measured and stated. CONTEXT The system forecasts t...

I’m building an AI-driven automation tool that takes the pain out of project scheduling for my AI-focused initiatives. The core of the product is an engine that learns from historical project data, then produces an adaptive schedule that stays realistic as priorities shift. Here’s what the engine must do: • Task prioritization – rank upcoming work automatically, updating in near-real time as new items appear. • Resource allocation – match the right people or assets to each task based on availability and skill. • Risk assessment – surface schedule threats early and recommend mitigations before they impact delivery. The initial data feed will come entirely from our own historical project records (spreadsheets, exported Jira tables, time-trac...

Summary I have a system that gather stock news in mysql database. The goal of the project is to automate sentiment and recommendation using any agentic tool you want. I need AI to analyzes the sentiment and potential market impact, and produces actionable stock insights/recommendations. As for recommendation , Recommendation engine uses the collected data, generate signals such as Buy / Hold / Sell or another clearly defined scoring system. Each recommendation should include a concise explanation of the major news/events and sentiment factors behind it. All results should be stored somewhere in excel sheet or mysql table Please include examples of similar n8n, AI automation, financial-data, sentiment-analysis, or recommendation-system projects you have worked on. Also let me know...

I’m looking for a developer to build a **Texas Hold’em Poker Decision Assistant** as a standalone Windows application. The software should analyze the poker table and clearly show **the best action to take at that moment**: **FOLD, CHECK, CALL, BET, or RAISE**. ### Main Features * Recognize hole cards and community cards. * Analyze the table, player actions, position, stack sizes, pot size, and betting history. * Calculate probabilities, pot odds, and hand strength. * Analyze possible opponent ranges. * Use configurable Texas Hold’em strategies. * Clearly display the recommended action in the program window. * If possible, show win probability, pot odds, recommended bet/raise size, hand strength, confidence level, and a brief explanation. * Example: **RECOMMENDED ACTIO...

Looking for Existing LookOnceToHear (LOTH) Pretrained Checkpoints I am looking for the original pretrained weights for Look Once to Hear: Target Speech Hearing with Noisy Examples. The original checkpoint download is no longer available. Important: I do not want anyone to retrain the model, reproduce the training, or create new checkpoints. Please only bid if you already downloaded and still have the original pretrained weights from when they were publicly available. I am specifically looking for the original: embedding model checkpoint Target Speech Hearing (TSH) model checkpoint If you already have these files saved, please contact me and mention which files you have. Payment will be made after verifying that they are the original pretrained checkpoints.

I need a professional PhD Research Proposal for the University of Bologna – Computer Science and Engineering PhD scholarship, based on the third funded research topic: Neuro-Symbolic AI, Generative Models, Ontologies, and Knowledge Graphs. The proposal must be original, academically strong, realistic, and easy to understand and defend orally during the interview. Important: It must strictly follow the official University of Bologna Research Proposal Template, including its required structure and format, and stay within the university’s requirements. I also need clear methodology, expected results, and a realistic 3-year research plan with emphasis on the first year.

We're looking for engineers and other STEM professionals to help push the limits of AI reasoning. Each task is simple in shape but hard in substance: you take a real image from your area of expertise and pair it with a challenging problem that a non-expert couldn't solve. What you'd do: - Choose or take a real, copyright-clear image with no annotations or markups - Write a difficult question about it that draws on your professional knowledge - Provide a clear, correct answer and reasoning Who this is for: - Working engineers (mechanical, civil, electrical, structural, software, etc.) and other STEM professionals - People who can spot the details in an image that only an expert would notice - Strong written English and attention to detail

I'm looking for an experienced AI trainer to conduct a course on Computer Vision. The training will be for intermediate learners and will cover the following topics: - Image Classification - Object Detection - Image Segmentation Ideal Skills and Experience: - Proficiency in Computer Vision techniques and tools - Experience in teaching or training, especially at an intermediate level - Strong understanding of Image Classification, Object Detection, and Image Segmentation - Ability to create structured, engaging, and informative training materials - Patience and good communication skills Please provide a portfolio or examples of previous training conducted. Looking forward to your bids!

I’m examining how Rwanda’s pioneering drone-delivery network can move even faster by sharpening the delivery-algorithm layer. My sole focus is on the technological side—specifically the mathematics, data structures and decision logic that pick, sequence and adjust each flight path in real time. What I need from you is a compact but rigorous study that shows, in measurable terms, how alternative or refined algorithms could cut overall delivery time. Feel free to draw on graph-search techniques, heuristic or meta-heuristic optimisation, predictive analytics, or machine-learning-supported routing—whatever you judge most promising for Rwanda’s geography, air-corridor rules and demand patterns. Deliverables • Literature and market review of algorithms curr...

We are seeking an experienced AI/ML Engineer to upgrade an existing AI-powered Fraud Detection System. The role focuses on improving fraud detection accuracy, real-time risk scoring, anomaly detection, and automated investigation. Responsibilities - Audit and upgrade the existing fraud detection architecture. - Improve AI/ML models for fraud detection, risk scoring, and anomaly detection. - Develop AI agents to investigate suspicious transactions and identify fraud patterns. - Integrate transaction, customer, device, behavioral, and external risk data. - Reduce false positives while detecting emerging fraud patterns. - Implement real-time monitoring, alerts, explainable risk scores, and investigation summaries. - Build testing, evaluation, monitoring, and continuous improvement processes....

Interview Engineer We’re looking for an Interview Engineer who is confident communicating in English and has strong Python skills from LATAM. What You’ll Do Conduct and facilitate technical interviews, particularly for engineering and AI-related roles. Evaluate candidates’ technical skills, problem-solving abilities, and communication. Design and improve technical interview questions and coding assessments. Work with the hiring team to provide clear and structured candidate feedback. Stay up to date with modern software engineering and AI technologies. Requirements Strong English communication skills, both written and spoken. Strong Python programming skills. Solid understanding of software engineering fundamentals. Excellent problem-solving and analytical skills. Abili...

Interview Engineer We’re looking for an Interview Engineer who is confident communicating in English and has strong Python skills from LATAM. What You’ll Do Conduct and facilitate technical interviews, particularly for engineering and AI-related roles. Evaluate candidates’ technical skills, problem-solving abilities, and communication. Design and improve technical interview questions and coding assessments. Work with the hiring team to provide clear and structured candidate feedback. Stay up to date with modern software engineering and AI technologies. Requirements Strong English communication skills, both written and spoken. Strong Python programming skills. Solid understanding of software engineering fundamentals. Excellent problem-solving and analytical skills. Abili...

Senior Full-Stack Developer — Production-Ready Data Intelligence Platform I am looking for an experienced senior full-stack/platform developer to take an existing data intelligence platform from its current development state to a secure, stable and production-ready product. This is not a greenfield build. A substantial application, architecture, database, frontend/backend and technical documentation already exist. The objective is to review what has been built against the intended architecture, identify gaps and technical debt, and complete the work required for production deployment. Platform Overview The platform is an enterprise data intelligence application that integrates data from customer business systems, processes and standardises it into a canonical data model, and prov...

I have Arabic Multimodal Dataset (Text + Image) designed for Multimodal Aspect-Based Sentiment Analysis (MABSA). Each data point consists of an Arabic review text paired with one or more relevant images. I am seeking an expert LLM Specialist to build a comprehensive, state-of-the-art experimental framework to validate the dataset's learnability and establish standard benchmarks for the scientific community. The project involves task-specific fine-tuning using modern text and vision-language architectures The dataset must be evaluated across two distinct tasks following standard evaluation benchmarks (e.g., SemEval standards): Task 1: Aspect Category Detection (Identifying specific predefined aspect categories mentioned). Task 2: Aspect-Based Sentiment Polarity Classification (Classify...

I’m setting up a weekday programme for absolute beginners who want to break into Artificial Intelligence,Machine Learning, MERN Full Stack, DevOps . You will run live, interactive classes for two hours each day, Monday through Friday, with the primary goal of giving students a rock-solid grounding in AI/ML basics—especially supervised learning. Format & schedule • 2 hr live session, five days a week (Mon–Fri) • Start date and exact time slot to be agreed together • Remote delivery via Zoom, Google Meet or a comparable platform Core content Students must leave the course confident in the fundamentals: data preparation, model selection, training & evaluation, and how supervised learning differs from other paradigms. Feel free to weave in...

Sensei AI — Institutional-Grade Stock Analysis Platform I built Sensei AI, a real-time trading intelligence platform covering all 50 Nifty stocks, designed to bring institutional-level AI analysis to retail investors. The system unifies five distinct AI model families into a single scored decision engine (−5.0 to +5.0): - Classical ML — Random Forest with SHAP-based feature attribution for explainable UP/DOWN probability - Deep Learning — Custom LSTM and causal Temporal CNN (PyTorch) for 5-day return forecasting - Reinforcement Learning — PPO agent (Stable-Baselines3) trained via a custom Gymnasium trading environment for BUY/SELL/HOLD actions - Regime Detection — Gaussian Hidden Markov Model to classify BULL/BEAR market states - Financia...

I am looking for an experienced AI/ML developer to build and integrate an advanced AI video transformation feature into my existing portal. The system should create realistic face movements and body motions to simulate live yoga sessions. I will provide a source video, my visual references, and voice/audio samples. The aim is to replace the source face with mine while preserving natural expressions, head movement, body gestures during yoga poses, as well as lip synchronization with the provided voice. It should convincingly mimic a live session's feel. Applicants should have expertise in AI video generation, face replacement, body motion tracking, voice cloning, and backend integration techniques. I'm open to suggestions on using suitable AI models, APIs, or a self-hosted soluti...

I need help turning a raw idea for group development into a practical, engaging series of team-building workshops for a cohort of 10–20 participants. The job begins with shaping a clear learning arc, then moves into designing hands-on activities that strengthen collaboration, communication and trust. I already know the workshops must be delivered in a group setting, so every exercise has to be interactive—think problem-solving challenges, role-play scenarios, and reflection debriefs rather than slide-heavy lectures. Here is what I will count on you to provide and do: • A concise workshop blueprint (timed agenda, objectives, and flow) ready for either an in-person room or a virtual platform such as Zoom with breakout rooms and Miro boards. • All participant material...

I own Celero Digital LLC, an Arizona IT and software consulting company. I am looking for a U.S.-based sales and lead-generation professional who can help me find real B2B IT/software clients. My main services include .NET/C#, ASP.NET, Azure, AWS, cloud development, DevOps, Kubernetes, microservices, AI/ML, cybersecurity, and healthcare software. My budget is a $450 one-time payment for client acquisition and sales outreach. I do not want a monthly retainer. I need the person to: * Find qualified U.S. companies that need IT/software consulting services. * Contact decision makers by email, phone, LinkedIn, or other appropriate methods. * Introduce Celero Digital and our services. * Generate qualified leads and schedule meetings with interested companies. * Follow up with prospects. * He...

Social Media Manager for Auto Detailing Business — $100/Month — Long-Term I own Porter’s Detailing, an auto detailing, paint correction, ceramic coating, and window tint business in Illinois. I’m looking for ONE reliable person to handle my social media on an ongoing basis. I’m not looking for a large marketing agency. I want to build a long-term relationship with one freelancer who understands the automotive/detailing industry and can make our social media look professional and active. Budget: $100/month fixed I will provide you with the raw photos and videos from the vehicles we work on. You will NOT need to travel, photograph vehicles, or create content from scratch. What I Need * Turn my raw photos/videos into professional social media content * Crea...

Looking for an experienced developer to build an AI-based UAV detection and tracking system for a custom ArduPilot quadcopter using Raspberry Pi 5 and AI HAT+ 2. Scope includes real-time drone detection, object tracking, MAVLink integration, safe autonomous follow/stand-off navigation, telemetry logging, GCS interface, failsafes, SITL testing, and complete source-code handover.

I have a single video frame captured in daylight that shows the front of a vehicle. Unfortunately, the plate is extremely blurry and all normal sharpening tricks have failed. I need a forensic imaging specialist who can push well beyond routine filters—think de-blurring algorithms, AI-based super-resolution, frame averaging, or any other proven technique—to extract a legible plate number. Source material • One “very blurry” video frame pulled directly from the original recording. • Daytime lighting; no night-vision artifacts to worry about. What I would like back • A cleaned, high-confidence still image that clearly shows the license plate characters. • A brief note (a paragraph or two is fine) outlining the process and software you use...

Looking for a developer to build an iOS/Android app that helps couples and friend groups decide what to do locally. Core functionality: Collect local events, activities, restaurants, attractions, etc. from online sources/APIs Users create or join a couple/friend group Each person privately selects what they’re interested in that week App recommends a small shared batch of activities based on group interests Each person privately votes NO, LIKE, or LOVE When multiple people like the same activity, it becomes a match Show useful details such as location, date/time, price, directions, tickets/reservations, etc. Learn from past votes to improve future recommendations Push notifications for new recommendations and matches Basic admin tools to review/manage event data

Merhaba, Kitantik mağazam için basit bir ürün yükleme otomasyonu yaptırmak istiyorum. İstediğim sistem şu şekilde çalışacak: 1. Telefon veya bilgisayardan ürün/kaset fotoğrafını sisteme yükleyeceğim. 2. Fotoğraftaki renkli sticker algılanacak. 3. Sticker rengine göre daha önceden belirlediğim fiyat otomatik atanacak. Örneğin: - Kırmızı = 250 TL - Mavi = 200 TL - Yeşil = 150 TL - Sarı = 100 TL Bu fiyatları daha sonra panelden kendim değiştirebilmeliyim. 4. Yapay zekâ fotoğrafı analiz ederek mümkün olduğunca: - sanatçı - albüm/kaset adı - marka - ürün türü - fotoğrafta görülebilen diğer bilgiler bilgilerini çıkarsın. 5. Fotoğraf...

I want to put a complete, web-ready AI expert system online that suggests the best laptop for a user based on a few quick questions. The core of the project is a rule-based engine built with Experta in Python and wrapped in a Streamlit interface. Scope of work • Create or refine the rule base so that recommendations place the strongest weight on RAM and CPU, while still considering GPU, storage, OS and intended usage. • Design a simple, clean Streamlit front end—no clutter, just concise inputs and an easy-to-read results panel. • Load and preprocess a laptop data set (I can supply one, or you can extend it) and keep it in a Pandas-friendly format. • Return a ranked list of laptops with a brief rationale for each choice. Deliverables 1. Fully comment...

Looking to develop, integrate, and maintain an AI-operated proprietary fund under an LLC structure. The project specification: FSM logic sequencing of entry/exit state change signals for automation of TQR program trading and portfolio management algorithm. Ideal candidates must have expertise in program trading, portfolio management automation, FSM logic sequencing for entry/exit strategies, and state change signaling for automation. Dedication to this project is essential, and candidates should ensure it does not compete with other job commitments. The timeline for completion is 20 days.

we’re looking for engineers who know vllm and want to help us launch our product. we’re especially interested in people who are active on hacker news, reddit, github or product hunt and can bring interested developers and users to the launch. the more people you bring in who try the product, give useful feedback or become users, the bigger the reward. if this sounds like you, let’s talk.

I need an end-to-end algorithm that trades a single share-market instrument entirely on technical chart analysis. The core logic must follow a technical trading approach, relying on candlestick patterns, moving averages, RSI, and manually-defined trend lines to decide entries, exits, and position sizing. Scope The build starts from raw market data ingestion, moves through signal generation, and finishes with live order execution and performance reporting. All elements—data cleaning, feature engineering, back-testing, walk-forward validation, risk controls, and real-time monitoring—should sit inside one coherent codebase so I can flip from historical tests to live trading with minimal re-configuration. Implementation Notes • Python is my preferred language; common...

I need a complete solution that pinpoints abnormal behaviour across my wireless sensor network. You will have direct access to three rich data streams—raw sensor readings, detailed network-traffic captures, and accompanying environmental context—so the approach can fuse information rather than relying on a single source. Your job is to design, implement, and validate an anomaly-detection model that flags faulty nodes, suspicious traffic, or out-of-range measurements in near-real time. Feel free to select the technique that best fits the data volume and complexity; I am open to statistical, classic machine-learning, or deep-learning pipelines as long as the final system is transparent and reproducible. Python (NumPy, Pandas, Scikit-Learn, TensorFlow/PyTorch) is preferred for ...

I have a raw customer dataset and I need a predictive model that can automatically segment these customers into actionable groups. The job begins with cleaning and preparing the data, moves on to feature engineering, and culminates in training and validating a segmentation model in Python—ideally using pandas, scikit-learn (or similar), and clear visual output via matplotlib or seaborn. What matters most is accuracy and interpretability. I want to understand which features drive each segment, so well-commented code, concise documentation, and an executive-level summary of insights are essential. Final deliverables should include: • A reproducible Python script or notebook • The trained model (saved or easily retrainable) • A brief report highlighting key segments...

My aim is to develop a Machine Learning algorithm that can predict the top 4 finishers in horse, harness, and greyhound racing. Unfortunately, I do not have any historical data available for training the algorithm, so I will need a freelancer who has the expertise to build this from scratch. Ideal Skills and Experience: - Extensive knowledge and experience in Machine Learning. - Familiarity with racing dynamics, particularly horse, harness, and greyhound racing. - Ability to create synthetic data for algorithm training. - Prior experience in developing predictive algorithms. - Strong statistical analysis skills.

Senior AI/ML + Distributed Systems Engineer Required (Enterprise Build – $45,000 Fixed Price) Project: AI Financial Intelligence & Risk Monitoring Platform We are hiring a highly experienced engineer or engineering team to architect, build, deploy, and operationalize a production-grade AI Financial Intelligence & Risk Monitoring Platform. This is not a prototype. This is not a simulation. This must be a fully scalable, real-time, enterprise-grade system capable of operating under production conditions. ⸻ Project Overview The platform must: * Process high-volume financial data streams in real time * Detect anomalies using AI-driven models (not rule-based systems) * Generate actionable risk intelligence * Operate under strict performance, latency, and scalability benchm...

JOB: Computational Biologist / ML Engineer - Brain-Specific Neoantigen Prediction Tool PROJECT OVERVIEW: I am building a brain-specific neoantigen prediction tool for mRNA/LNP/PNA therapeutics. The goal is to predict which mutated peptides (neoantigens) are most likely to be presented by HLA in brain metastasis and trigger an immune response. This is a 7-stage pipeline with a defined step list. WHAT YOU WILL BUILD: Stage 1 - Data Sourcing - Search and download brain metastasis MS immunopeptidomics data from CPTAC, SysteMHC, GEO, PRIDE - Download TCGA primary tumour WES/RNA-seq (20 samples) - Download BrainMetShare brain metastasis WES/RNA-seq (20 samples) - Download GTEx normal brain expression, AFND HLA frequencies, IEDB self-antigens - Record sample metadata (source, cancer type, ance...

I’m building a computer-vision pipeline focused on reliable detection and recognition of human faces and full-body figures. The core of the job is a clean, well-documented Python implementation that can take still images or short video clips and return bounding boxes, class labels, and confidence scores for each detected person. I already have test media and the computing environment; what’s missing is the detection logic itself—ideally leveraging familiar libraries such as OpenCV, TensorFlow, PyTorch, or a proven YOLO/SSD variant. Accuracy on varied lighting and crowded scenes is more important to me than sheer speed, but the code should still run in real time on a modern GPU. Deliverables • Python source code with clear inline comments • Pre-trained weig...

I’m looking to turn our scattered know-how—hundreds of PDFs, policies, detailed reports, emails, meeting minutes, and assorted documentation—into a single Retrieval-Augmented Generation assistant that answers questions instantly and finds the exact source passage behind every reply. What I already have in mind • Ingestion pipeline that automatically pulls new or updated PDFs, email archives, and other internal files, cleans the text, and embeds it in a vector store (FAISS, Pinecone, or a similar tool). • A lightweight search layer so staff can type a query and receive both a concise answer and the ranked source documents. • Chat-style interface (web or Slack/Teams bot) backed by an LLM with citations, guardrails, and role-based access. • Modular...

My manuscript on temperature prediction with a Bidirectional LSTM has been returned from a journal with a “major revision” decision. I want to submit a polished, fully compliant revision that answers every reviewer comment and tightens both the science and the prose. The current file is in Word, so all editing should be done with Track Changes enabled. I will supply the reviewers’ reports, original figures, datasets, and any code snippets you may need to replicate or clarify results. Here is what I expect: • A carefully rewritten Word document that integrates the reviewers’ suggestions while preserving my voice and technical accuracy. • Clear explanations—inserted as comments—showing where and how each reviewer point was addressed. &bul...

We are looking for freelancers from the USA and LATAM regions to participate in a large-scale egocentric (first-person point-of-view) video collection project focused on capturing genuine household and industrial activities. The collected footage will help train and improve AI/ML models related to human activity recognition, hand-object interaction, robotics applications, and real-world scenario understanding. Participants will be compensated at $10 per approved video hour for USA contributors and $7 per approved video hour for LATAM countries contributors. Freelancers will record themselves performing real-world household and industrial activities, including cleaning, organizing, maintenance, logistics, retail, agriculture, manufacturing, construction, automotive services, and other wo...

The project centers on building a production-ready TensorFlow 2.x model that classifies tabular data delivered to us through an internal API. I have the API specifications and sample payloads ready; you will turn those streams into a clean training pipeline, engineer the right features, and iterate until the classifier meets our performance targets in real-world tests. Scope of work • Data pipeline – pull the API data, handle preprocessing, and produce TensorFlow-friendly datasets for train/val/test splits. • Model development – design, train, and tune a deep learning architecture suitable for tabular inputs (e.g., wide & deep, Transformer, or other proven structures). • Optimization – experiment with hyperparameters, regularization, and callback...