Remote AI training and data labeling jobs

India-based full-stack engineers build real applications on top of a leading AI lab's pre-release models, wiring in tool interfaces, evaluation harnesses and telemetry, and writing up the model failures they hit. 3+ years at a top-tier organisation and two programming languages. Full-time, 40 hours a week, $25–30/hour.

Evaluate Neuron Kernel Interface (NKI) development tasks for a frontier AI lab: CUDA-to-NKI migration fidelity, Trainium performance optimisation and GPU-versus-Trainium numerical correctness. Requires 2+ years writing NKI kernels for Trainium or Inferentia2. US-only, $70–90/hour.

Senior US full-stack engineers (6+ years, end-to-end system ownership) build production-grade software on a leading AI lab's pre-release models, integrate tool interfaces and evaluation harnesses, and document model failure modes for researchers. Full-time W-2 through Cincinnatus LLC, 40 hours a week, $90–110/hour.

Evaluate GPU and accelerator kernel development tasks for a frontier AI lab: numerical correctness, benchmarking fairness, task scoping and compile or runtime validity across CUDA, Triton, NKI and Pallas. For US engineers with 3+ years of kernel work in at least two of those frameworks. $70–90/hour.

Audit Kubernetes tasks used to train and evaluate a frontier AI lab's models: cluster-operations scenarios, manifest and Helm correctness, and failure-mode troubleshooting (CrashLoopBackOff, OOMKilled, eviction). For US engineers with 3+ years of production Kubernetes and Go, Python or TypeScript. $70–90/hour.

An expert-interview listing for engineers who have shipped production search, especially agentic search in the LLM era: a 25-minute conversational interview about relevance, evaluation and real trade-offs, with a possible paid 30-minute follow-up call at $200. No coding, no take-home. Listed at $80–150 per task.

Grade AI-generated slides, spreadsheets and documents for real-world software engineering quality, flagging factual, visual and presentation errors with written feedback. Needs 5+ years at a top firm in the US, UK, Canada, Australia or New Zealand. $100–150/hour.

Evaluate vulnerability-reproduction and remediation tasks for a frontier AI lab: faithful CVE reproductions in Docker labs, sound fixes, and two-part verification (functionality plus vulnerability tests). For US AppSec engineers, pentesters and vulnerability researchers with 3+ years. $70–90/hour.

Remote hourly contract for Python developers who already run PyCharm on their own Mac. $55–65/hour, paid weekly via Stripe or Wise. You supply the licence, the Mac and a display above 2.5 megapixels. Tasks are not described in the ad.

Build hard codebase-exploration tasks for an RL environment that trains AI agents: rewrite engineering questions about production Go repos (etcd, Traefik, Helm, gRPC-Go, Temporal and more) so frontier agents fail them, tune rubrics and foils, and pass a validation loop. $130 per approved task, remote.

Remote hourly contract for developers on any stack who already use Visual Studio Code on their own Mac. $55–65/hour, paid weekly via Stripe or Wise. You need your own Mac and a display above 2.5 megapixels. Tasks are not described in the ad.

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.