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Salary
$100k – $170k per year
Location
In office (Singapore)
Seniority
Middle · 2+ years exp
Visa
Sponsorship offered in the posting
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 13, 2026. First seen by Alion on Oct 12, 2026. Clera scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Clera is a San Francisco company that runs an AI recruiting platform positioned as a talent agent rather than a job board, matching engineers and other technical candidates to roles at venture-backed startups. Its system reads a candidate's background and preferences, then represents them to hiring teams at companies funded by firms such as Andreessen Horowitz, Y Combinator, Index Ventures and General Catalyst, compressing the introduction step that traditional headhunting handles manually. The model is aimed at the segment where recruiter fees are highest and candidate supply is thinnest, and the platform handles screening, scheduling and pipeline tracking for both sides of the match.

About the Role

Join a small, technical team at an early-stage AI evaluation infrastructure startup building benchmarks for frontier AI agents. You will own the design and implementation of rigorous evaluations for realistic, domain-specific workflows, helping technical teams understand how agent performance translates to practical settings.

What You'll Do

  • Design, implement, and maintain benchmarks for evaluating frontier AI agents on domain-specific tasks.

  • Collaborate with subject-matter experts to turn real workflows into realistic benchmark tasks and evaluation criteria.

  • Build reliable infrastructure to run models and agents against evaluation tasks at scale.

  • Develop metrics and analyses to assess benchmark difficulty, reliability, and failure modes.

  • Validate how benchmark results relate to real-world evaluations and technical user needs.

  • Write clear technical documentation and reports that communicate findings to research and engineering audiences.

What We're Looking For

  • Two or more years of experience in research engineering or machine learning engineering, with a focus on AI benchmarks, evaluation infrastructure, or agent environments.

  • Experience designing, implementing, and operating benchmarks or evaluation environments for AI agents or large language models.

  • Proficiency in Python, Docker, and Linux environments.

  • Experience building infrastructure to run AI models or agents reliably, and collaborating with subject-matter experts to define tasks and criteria.

  • Experience analyzing workflows across technical or business domains, and developing metrics or validation studies for benchmark quality.

  • Strong technical writing, attention to detail, and ability to work independently in unstructured environments.

  • Experience with reinforcement learning pipelines, data generation, published work, or public benchmarks is beneficial.

Compensation & Benefits

Annual salary range: $100,000 to $170,000 USD. Visa sponsorship is available.

Location

On-site in Singapore, Singapore.

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