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

Confirmed on the employer's own hiring board on Oct 31, 2026. First seen by Alion on Oct 28, 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.
Backed by TU Berlin

About the Role

Build synthetic data systems that turn specialized workflows into realistic, scalable training tasks for AI agents. You will work with an engineering team to develop task generation, validation, and evaluation methods that help improve model capabilities.

What You'll Do

  • Build pipelines that transform domain-specific workflows into structured and challenging synthetic training tasks.

  • Collaborate with subject-matter experts to create tasks across professional and technical domains.

  • Develop methods for generating diverse, realistic, and learnable tasks.

  • Create tooling to mutate, validate, and improve synthetic tasks.

  • Analyze model and agent performance to identify what tasks teach and where they fail.

  • Develop metrics for task diversity, realism, learnability, and quality.

What We're Looking For

  • At least 2 years of experience in software engineering, machine learning engineering, or AI research, building and delivering data pipelines, ML infrastructure, or synthetic data systems.

  • Technical education or background, with hands-on experience developing end-to-end synthetic data pipelines for AI or machine learning applications.

  • Proficiency in Python, Linux development, and containerization tools such as Docker.

  • Experience evaluating synthetic data quality, including diversity, realism, learnability, and limitations.

  • Experience building evaluation frameworks, benchmarks, or testing environments for AI agents or large language models.

  • Ability to independently deliver technical projects with minimal predefined requirements, and to identify subtle data inconsistencies and edge cases.

  • Strong reasoning about task design, scoring, and failure modes; familiarity with reinforcement learning, agent workflows, or LLM post-training is useful.

  • Clear communication skills for collaboration across time zones.

Compensation & Benefits

Base salary: $100,000 to $170,000 USD annually. Visa sponsorship is available.

Location

On-site in Singapore, Singapore.

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