MP
$320,000 – $405,000
Listed on Menlo Ventures Portfolio’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
Build the data collection and feedback systems that power Claude's training, working full-stack across web interfaces, backend pipelines, and researcher tools. This role suits senior engineers who enjoy owning complex systems end-to-end and want to work directly with ML researchers to translate research needs into reliable production infrastructure.
Our summary, not Menlo Ventures Portfolio’s wording. The full posting is on their site.
Skills this role names
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What they ask for
Required
- Full-stack engineering with production TypeScript/React and Python experience
- Proven track record owning projects from conception to production
- Experience designing and operating backend services and data pipelines others depend on
- Ability to work with technical stakeholders whose requirements change frequently and exercise judgment on scope
- Effective use of AI tools in daily work
- Care about societal impacts of your work
Nice to have
- Experience building annotation, labelling, or human-in-the-loop data tooling
- Experience with RLHF, preference data, or human-feedback ML pipelines
- Track record shipping researcher-facing internal tools that users love
- Experience running experiments on data collection interfaces to improve quality
- Experience with crowdworker or expert vendor platforms at scale
- Familiarity with how LLMs are trained and evaluated