Remote AI training and data labeling jobs

Build reinforcement learning environments that test whether AI models can fix bugs, add features, refactor and optimise real code, each with a reproducible setup and a golden reference solution. Around 15 hours a week, paid per accepted task on a $100–150/hour band, 100 openings, no AI experience needed.

Package real bug fixes, features, refactors and performance problems as reproducible reinforcement learning environments with golden reference solutions for AI coding models. About 15 hours a week, paid per accepted task on a $50–100/hour band, 100 openings. Same text as a higher-paying sibling posting.

Turn your favourite open repositories into reinforcement learning environments for frontier coding models: subtle bugs, non-trivial features or performance problems, each with a reproducible setup, robust verifiers and a reference solution. About 15 hours a week, paid per task on a $50–100/hour band.

A full-time, salaried research role at micro1 designing benchmarks, rubrics, datasets and evaluation pipelines for frontier coding agents. Base salary $200,000–260,000 plus equity and benefits, remote, one opening. Three years in software engineering, ML or evaluation.

Data engineers build and run large-scale pipelines in Python with Spark, Hadoop or Flink, manage relational and NoSQL stores, and enforce data quality on a micro1 project framed as AI training. Remote contractor role, 50 openings, $30–80/hour.

Teachers and ed-tech users: run realistic Google Classroom tasks (classes, assignments, grading, feedback) on screen recording, then write the prompts and rubrics that teach AI agents the same workflows. Needs current Classroom access. 40 openings, contractor, $30–100/hour.

Build reinforcement learning environments that test whether an AI model can deploy, secure, scale and recover production cloud infrastructure: realistic scenarios, deterministic tests, golden solutions and deliberately broken variants. 20 hours a week, paid per accepted task, $50–100/hour band.

Complete real GitHub workflows (branches, PRs, issues, Actions) while recording your screen, then write prompts and rubrics from what you did. Remote contractor, $90–175/hour, 40 openings. Prior human-data work such as RLHF or annotation is preferred.

Work real investigations in Security Onion (alerts, network traffic, logs) while recording your screen, then write prompts and rubrics from each workflow. Remote contractor, $90–175/hour, 40 openings. Hands-on Security Onion access and prior human-data work are preferred.

Write hard feature and bug-fix tasks for AI coding models, plus deterministic verifiers that accept any valid solution and reject the rest. About 15 flexible hours a week, paid per accepted task on a $30–100/hour band, 300 openings; security backgrounds are a plus.

Write production-style DevOps tasks (CI/CD, Kubernetes, IaC, monitoring, incident response) with working reference solutions, then review and correct AI-generated attempts. Remote contractor, $50–100/hour, 20+ hours a week, 3+ years in DevOps, SRE or platform work.

Experienced IT leaders plan and run a small technology initiative with an external vendor, SLAs and stakeholder reporting, generating realistic management scenarios to train AI. Contractor, remote, 50 openings, $70–130/hour. Six years leading multi-quarter tech initiatives is the bar.

Play selected PC games while recording frame-synced video and keyboard and mouse telemetry, capture in-game event data, annotate gameplay and log bugs, for at least 2–3 hours a day. $10–14/hour, 100 openings, contractor. Competitive or professional gaming experience preferred.

Play AAA games on your own high-end PC while in-house tools capture the session, then organise and annotate the recordings for AI training. Remote contract, $10–15/hour on a pay-per-task model, 50 openings. You must own the gaming rig and the required titles.

Run realistic developer workflows (pull requests, code review, issues, CI runs) through AI tools and grade whether the results are correct, while seeding reproducible repos and wiring up integrations. Three years of Git and CI/CD experience; MCP and connector familiarity valued. Four openings, $50–70/hour.

Build features, fix hard bugs and refactor legacy code inside existing open source projects, with clear write-ups of each solution, as training input for AI coding models. Expert level in two languages plus open source and competitive programming experience. 37 openings, paid per task on a $50–100/hour band.

Build, tune and evaluate ML models in Python with MongoDB-backed data pipelines for a customer AI training project, and document every experiment. Remote contractor, $80–140/hour, 35 openings. scikit-learn, TensorFlow or PyTorch plus hands-on MongoDB is the core stack.

Evaluate AI-generated code for correctness and design, write hard coding problems with reference solutions and test cases, and review how a model reasons about architecture, debugging and system design. Asks for a year at a top technology company and a base in an English-speaking country. Remote contractor work at the top of this board's pay range.

Build reinforcement learning environments that test whether an AI model can fix bugs, add features, refactor code and tune performance in real repositories, then write the golden reference solution it is graded against. Public open-source contributions are the requirement, not AI experience. Remote contractor work, roughly 15 hours a week.

Build reinforcement learning environments that test whether an AI agent can fix bugs, implement features, refactor and optimise code while discovering and reasoning over information from real MCP servers. You design the reproducible environment, the deterministic verification and the golden reference solution. Remote contractor work, roughly 15 hours a week, hours of your choosing.