Sourcing as a channel, not a feature.
hackajob is partnering with Mercor to fill this position. Create a profile to be automatically considered for this role—and others that match your experience.
**About the Role** \- Mercor is partnering with a leading AI research lab to support a Frontier Code Agents project. \- Contributors help evaluate and improve frontier AI coding models through structured technical assessments. \- The work focuses on realistic infrastructure engineering workflows and model evaluation. \- Spots are limited and filling quickly on a first come, first serve basis. **What You'll Do** \- Use frontier AI coding agents to complete and evaluate complex infrastructure engineering tasks. \- Review model-generated implementations involving cloud platforms, Kubernetes, CI/CD systems, observability, and infrastructure automation. \- Identify bugs, edge cases, reliability issues, and failure modes. \- Compare outputs from multiple frontier models and assess their strengths and weaknesses. \- Apply professional engineering judgment to realistic infrastructure engineering scenarios. **Time Commitment** \- Sprint based project that runs in 12-24 hour stretches based on client requirement. **Compensation** \- $400 per accepted task. \- Typical tasks take approximately 1–3 hours after ramp-up. \- No fixed task limits. \- Compensation is tied to accepted work. **Who Should Apply** \- 2+ years of professional DevOps, SRE, or Cloud Engineering experience. \- Experience with AWS, Azure, GCP, Kubernetes, Terraform, CI/CD pipelines, or observability tooling. \- Regular use of AI coding agents such as Cursor, Claude Code, Codex, Windsurf, Gemini CLI, or similar tools. \- Ability to evaluate model-generated infrastructure and reliability engineering solutions. \- Experience supporting production-scale systems is preferred.
hackajob is partnering with Mercor to fill this position. Create a profile to be automatically considered for this role—and others that match your experience.