Build and validate challenging Codebase Q&A tasks for AI agents using production Go repositories. Responsibilities include exploring unfamiliar codebases, understanding runtime behavior and history, rewriting engineering questions, refining rubrics and foils, running validation workflows, documenting tasks, and responding to expert review. Work is fully remote, asynchronous, and paid per approved task.
This role is for one of our clients
Compensation: $130 per task
We are seeking experienced Go engineers to build the dataset that teaches AI agents to reason about real codebases.
Codebase Q&A is a reinforcement-learning environment for training AI agents to explore and reason about software repositories they have never seen before. You will build difficult codebase-exploration tasks: high-level engineering questions about production Go repositories that cannot be answered by reading a single file, and that require runtime evidence to resolve — the kind of question a senior engineer answers by actually investigating the system.
This track works on infrastructure-grade Go codebases including etcd, Traefik, Helm, Kustomize, CoreDNS, NATS Server, Temporal, Syncthing, restic, Authelia, BadgerDB, quic-go, gRPC-Go, Hugo, rclone, Trivy, cert-manager and Pion WebRTC.
Contract, task-based work paid at $130 per approved task, performed remotely in our Studio.
Requirements
Key Responsibilities
- Select tasks from a pre-validated pool of Go repositories, each pinned to a specific git commit and arriving with an engineering question, positive and negative rubrics, foils, and a golden solution
- Explore the repository until you genuinely understand the subsystem in question, including the relevant PR or issue history
- Rewrite the task's question so it defeats frontier coding agents while remaining well-defined and fairly answerable
- Adjust rubrics and foils so they reward correct reasoning and reject plausible-but-wrong answers
- Run the full validation loop in Studio — Check, Golden, Run, Analyze — and iterate until every stage passes
- Document your work in the task README and submit for expert review, addressing reviewer feedback on returned tasks
Ideal Qualifications
- 3+ years of professional software engineering experience, with substantial production Go
- Demonstrated ability to navigate a large, unfamiliar Go codebase and explain how it behaves at runtime — not just what the source says
- Fluency in Go concurrency, interfaces, module boundaries, and the standard library; comfort reading generated code and build tooling
- Experience with distributed systems, networking, storage engines, or Kubernetes-ecosystem tooling is highly relevant — the task mix is weighted toward architecture and system design (42%), code onboarding (26%) and root-cause analysis (20%)
- Precise written English: the questions and rubrics you write are the product
- Comfortable with git at commit level, containerized environments, and command-line tooling
Working Details
- Fully remote and asynchronous, with expert team leads across US, India, and Nigeria time zones
- Work is performed in our Studio; time is tracked with Insightful, and platform access is provisioned through Okta
- Onboarding requires identity verification, a background check, signed Terms of Work and CIIAA, a tax form, and passing a short calibration quiz before task access is granted
- Payment is per approved task; every task is reviewed by a second engineer and a super reviewer before acceptance
Application Process
- Submit your resume or relevant technical background to get started
- Qualified applicants may be asked to complete a brief technical assessment or provide additional information
We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.
Similar Jobs
Artificial Intelligence • Fintech • Insurance • Marketing Tech • Software • Analytics
Lead Reinsurance Accountant responsible for preparing complex captive and reinsurance financial reports, general ledger entries, reconciliations, accounting research, trend analysis, and process improvements. The role reviews report accuracy, resolves discrepancies, supports internal and external partners, and communicates financial issues to senior management. Candidates need a bachelor’s degree in Accounting or Finance, at least five years of accounting or finance experience, strong accounting knowledge, attention to detail, adaptability, and effective communication skills.
Artificial Intelligence • Automotive • Greentech • Information Technology • Machine Learning • Software • Cybersecurity
Executes and optimizes enterprise email, SMS, and organic social campaigns across multiple brands. Responsibilities include audience segmentation, journey design, content development, testing, deployment, deliverability management, social listening, performance dashboards, analytics, and cross-channel optimization. The role also evaluates emerging channel technologies, recommends strategies, and collaborates with marketing, creative, analytics, agency, and brand teams.
Top Skills:
CSSFacebookHTMLInstagramLinkedInExcelMicrosoft PowerpointMonday.ComSalesforce Marketing Cloud
Artificial Intelligence • Automotive • Greentech • Information Technology • Machine Learning • Software • Cybersecurity
Executes and optimizes multi-brand email, SMS, and organic social campaigns across Cox Automotive’s B2B portfolio. Responsibilities include audience segmentation, journey design, content development, automation, deliverability management, social listening, cross-channel testing, dashboard creation, performance analysis, and strategic recommendations. The role partners with marketing, creative, analytics, agency, and brand teams while evaluating emerging channel technologies and improving engagement, conversion, retention, and audience growth.
Top Skills:
CSSEmail MarketingFacebookHTMLInstagramLinkedInExcelMicrosoft PowerpointMonday.ComOrganic Social MediaSalesforce Marketing CloudSmsTcpa
What you need to know about the Austin Tech Scene
Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.
Key Facts About Austin Tech
- Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
- Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
- Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
- Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center
