Turingnew this weekSoftware / Platform / Data Engineer — Agent Trace Collection
Good fit for: software engineers, developers, and programmers.
Listing verified on the platform’s official board. Last checked September 25, 2026.
About Turing Turing is one of the world's leading AGI infrastructure companies, working with frontier AI labs to accelerate model development through high-quality training data, evaluations, and engineering talent.About the Role: Build the technical implementation of a system that captures GitHub Copilot CLI agent traces across developer machines, scrubs sensitive content centrally in Azure, and serves a sanitized, queryable dataset for review. You’ll own the pipeline end-to-end — from the endpoint capture script to the Azure ingestion, scrub, and viewer.You are a fit - If you can take a written design and ship the working pipeline mostly on your own, and you treat privacy as a hard requirement, not an afterthought.What does day-to-day look like: Stand up the OpenTelemetry capture path: endpoint env-var/.bashrc setup, OTLP export, and a collector pipeline (receivers → processors → exporters). Build the central ingestion + privacy scrub block in Azure (secret + PII detection/redaction) before any data reaches a reviewer.Wire up the sanitized stores and a read-only trace viewer, with task↔session↔trace correlation.Required Skills:Bachelor’s degree in Computer Science, Engineering, or a related field — or equivalent practical experience. 5+ years in software / platform / data engineering, shipping production systems. 3+ years hands-on with Azure (or a comparable major cloud with clear transfer to Azure PaaS), including 2+ years building observability or telemetry pipelines with direct OpenTelemetry experience — OTLP, collectors, spans/traces, semantic conventions. Azure PaaS: Container Apps/AKS, API Management, ADX/Kusto or App Insights, ADLS Gen2/Blob, Key Vault, Entra ID. Solid Python or Node.js, plus Bash scripting. Practical data privacy / PII & secret scrubbing experience (regex, entropy, redaction/tokenization). Data-pipeline and cloud-security fundamentals (RBAC, private networking, audit).Nice to Have:Grafana / telemetry-backend setup; LLM-agent or GenAI observability exposure; cross-cloud identity federation (AAD ⇄ GCP IAM).Perks of Freelancing With Turing:Work in a fully remote environment.Opportunity to work on cutting-edge AI projects with leading LLM companies.Engagement Details:Compensation: $100/hourCommitments Required: At least 4 hours per day and minimum 20 hours per week with overlap of 4 hours with PST. Employment type : Contractor assignment (no medical/paid leave)Duration of contract : 3 month; [expected start date is next week]Location : North AmericaEvaluation Process (approximately 30 mins) :One round of interview (30 mins of technical & cultural discussion)