Remote AI training and data labeling jobs

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.

Author AI evaluation tasks from real drawing sets, documents and site photos, with the correct RFI response, coordination comments or markup as the answer. For licensed architects, project architects and job captains with 3+ years. US only, $45–60/hour.

Complete self-contained fund-ops exercises from mock ledgers, statements and notices: reconciliations, NAV variance attribution, trade-break investigations, corporate actions and payment exceptions, each graded against a rubric. 3+ years in fund admin or investment ops. US only, about 15 hours a week, $75–110/hour.

Build a real estate deal model in Excel from a synthetic document pack, with live formulas and sourced assumptions, then score two other contractors' models against fixed criteria. For associates at real-estate-focused mid-market PE funds with ~2 years of IB first. US only, about 20–25 hours over 1.5–2 weeks, $80–100/hour.

Turn everyday insurance judgment into AI training data: design realistic underwriting, claims, actuarial and compliance scenarios, review AI outputs and write feedback. Open to every insurance specialty, 3+ years, US-based. $75/hour.

Score and compare AI-generated writing, then write the rationale that explains each judgement. micro1 calls the exercise a Write-like-Human Eval: you are the reader whose standards the model gets trained against. Ten openings, contractor, $90–140/hour, open to the US, Canada and the UK.

Review everyday professional work (documents, slides, spreadsheets) and judge it for accuracy, clarity, and completeness, writing out your reasoning. No AI background needed, but a bachelor’s degree and US or Canada residency are hard requirements.