Software engineers rebuild technical PowerPoint slides, document system architectures and engineering processes, and review technical storytelling, so AI learns to explain engineering clearly. US, UK or Canada. 7 openings, contractor, $150–350/hour.
Audit AWS serverless and infrastructure-as-code tasks for a frontier AI lab: multi-service designs (Lambda, API Gateway, DynamoDB, EventBridge, Step Functions), CDK or CloudFormation fidelity, IAM boundaries and retry semantics. For US engineers with 3+ years building on AWS. $70–90/hour.
US-based full-stack engineers with 3+ years build working software on a leading AI lab's pre-release models, integrating APIs, tool interfaces and evaluation harnesses and reporting where the models fail. Two language ecosystems required. Full-time W-2 through Cincinnatus LLC, 40 hours a week, $50–65/hour.
Two to three paid one-hour video interviews with Mercor about how enterprise security work is done and judged, feeding a benchmark for AI cyber defense agents. $125–175/hour, US-based, no prep and nothing to label or submit.
A hybrid, Bay Area-based W-2 role embedded with a leading AI lab: senior software engineers vet model outputs, write instruction specs and golden solutions, and build engineering benchmarks. 4+ years, senior-level progression and a CS or engineering degree. 40 hours a week for an initial 6 months, $65–105/hour.
US-based systems analysts bring requirements gathering, BPMN or UML process modelling and SQL troubleshooting to the design and validation of AI training scenarios. Contractor, remote (US only), 10 openings, $60–120/hour. Five years as a systems analyst or technical consultant.
Audit repository-level software engineering benchmark tasks for a frontier AI lab: reference patches, test harnesses, Docker isolation, and signs of answer leakage or reward hacking. For US engineers with 3+ years and real open-source contributor or maintainer history. $70–90/hour.
Run 20-minute structured interviews that vet senior engineers (GPU kernels, security research, ML compilers) for a frontier lab's AI training and evaluation panel, then tier each candidate and write a summary. For experienced recruiters and technical vetters. US, part-time, about 10 hours a week, $50–60/hour.
US-based cloud and DevOps engineers design and grade AI training tasks on Kubernetes failure diagnosis, AWS service integration, Terraform or CDK design and CI/CD, and write the rubrics behind them. 4+ years at a top-tier organisation. Full-time W-2 through Cincinnatus LLC at a leading AI lab, $75–110/hour.
Audit end-to-end AI-assisted coding sessions (traces from tools like Cursor, Copilot or Claude Code) used to train and evaluate a frontier lab's models, judging correctness, workflow and reasoning with rubric-based feedback. 3+ years of software development plus hands-on agentic coding. US-only, $70–90/hour.
ML systems engineers write and evaluate training tasks for a frontier lab across GPU kernels, performance profiling, distributed debugging and LLM inference serving, plus the rubrics that grade them. 2+ years of hands-on ML infrastructure work. Canada, UK or US; 40 hours a week. $90–120/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.
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.
New roles land most days. Get them on Telegram or Discord as they are added, or read how the platforms pay before you apply.