Software / Platform / Data Engineer — Agent Trace Collection

About this role

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/hour Commitments 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 America Evaluation Process (approximately 30 mins) : One round of interview (30 mins of technical & cultural discussion)

Skills & domains

• ai-training
• software-development