Member of Technical Staff, Coding Research | $8-$9/hr Remote
Overview
This role sits at the intersection of AI research, software engineering, and model evaluation. You'll design the benchmarks, methodologies, and data systems that define how next-generation coding models are measured and improved. It's a chance to directly shape the capabilities of frontier coding agents in a remote-first, research-driven environment.
What You'll Do8
- 1Own the design and maintenance of evaluation frameworks for coding agents, including benchmark specs, scoring rubrics, and quality standards.
- 2Lead end-to-end research initiatives that measure and enhance coding model performance across a wide range of software engineering tasks.
- 3Build high-quality datasets, golden examples, and evaluation protocols to enable reliable assessment of cutting-edge coding systems.
- 4Analyze model behavior and failure modes to identify systematic weaknesses and translate findings into actionable improvements for training and evaluation.
- 5Develop tooling and infrastructure that support large-scale experimentation, data generation, review workflows, and evaluation pipelines.
- 6Establish best practices for coding-agent assessment — ensuring methodological rigor, reproducibility, and measurement quality.
- 7Collaborate closely with researchers, engineers, and applied AI teams to design experiments and evaluate emerging model capabilities.
- 8Contribute to technical reports, benchmark studies, and client-facing research that communicate model performance and insights.
Requirements8
- 1Strong software engineering background with expertise in Python, C++, or similar languages.
- 23+ years of experience in software engineering, machine learning, AI research, evaluation, or related technical fields.
- 3Proven experience designing, reviewing, or validating technical assessments, benchmarks, coding tasks, or evaluation methodologies.
- 4Familiarity with large language models, coding agents, reinforcement learning, model evaluation, or related AI systems.
- 5Ability to build tooling, automate workflows, and improve technical processes through systematic experimentation.
- 6Strong analytical skills to investigate model behavior and extract insights from complex technical systems.
- 7Excellent written and verbal communication, including the ability to explain technical findings to varied audiences.
- 8Comfortable working in fast-moving research environments with significant ambiguity and evolving priorities.
Who Should Apply
We're looking for someone who thrives at the intersection of AI research and software engineering — a builder who cares deeply about how coding models are evaluated and improved. You should have a track record of designing rigorous benchmarks or datasets, a curiosity about model behavior, and the ability to drive ambiguous technical projects from idea to execution. Ideal candidates are comfortable wearing both research and engineering hats and are excited by the challenge of measuring frontier AI capabilities.
Salary Insight
The base salary for this full-time position ranges from $140,000 to $180,000 USD annually, plus eligibility for equity compensation and performance-based bonuses. micro1 also offers a comprehensive benefits package including up to 100% reimbursement for health-insurance premiums, paid time off, a 401(K) plan with company match, and additional remote-first perks.
Required Skills
Application Tip
When applying, emphasize any hands-on work you've done designing evaluation benchmarks or building coding agent test suites. Concrete examples of how your frameworks improved model performance or caught failure modes will make your application stand out.
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