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Jobs/New York City/Software Engineer, Human Data Interface
New York City, NY

Software Engineer, Human Data Interface

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole.

Company
Anthropic
Compensation
Not listed
Schedule
Full-Time
Role overview

What this role actually needs.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Responsibilities: - Architect and build data collection pipelines that support rapid iteration, balancing data quality and system maintainability - Think deeply about the experience of the crowdworkers and vendors using these systems, building interfaces that are clear, efficient, and lead to high-quality data - Collaborate closely with research teams to understand evolving data needs and iterate quickly on collection methods - Partner with our Human Data Operations team to understand the end-to-end data workflow and design interfaces that make their jobs easier - Prioritize and juggle multiple workstreams, making trade-off decisions in a fast-moving environment where research priorities can shift quickly Requirements: - Experience influencing technical and product direction on a team Company context: Anthropic is an AI safety company building Claude, a frontier-model assistant for developers, enterprises, and consumers.

Responsibilities

Day-to-day expectations

Anthropic lists these responsibilities for the Software Engineer, Human Data Interface role.

  • Architect and build data collection pipelines that support rapid iteration, balancing data quality and system maintainability
  • Think deeply about the experience of the crowdworkers and vendors using these systems, building interfaces that are clear, efficient, and lead to high-quality data
  • Collaborate closely with research teams to understand evolving data needs and iterate quickly on collection methods
  • Partner with our Human Data Operations team to understand the end-to-end data workflow and design interfaces that make their jobs easier
  • Prioritize and juggle multiple workstreams, making trade-off decisions in a fast-moving environment where research priorities can shift quickly
Requirements

What a strong candidate brings

These requirements are extracted from the source listing and normalized for UpJobz readers.

  • Experience influencing technical and product direction on a team
UpJobz market context

Why this listing is more than a copied job post.

Software Engineer, Human Data Interface is framed against UpJobz source checks, country scope, compensation visibility, and work-authorization signals so candidates can make a faster go/no-go decision.

United States tech market

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Compensation read

The employer source does not expose a reliable salary range, so candidates should ask for compensation early instead of waiting until late-stage interviews.

Work authorization read

Current extracted signal: Open to TN, H-1B, and OPT candidates already in the United States. UpJobz treats this as a search signal, not legal advice, and links visa-sensitive roles back to the relevant visa hub where possible.

Location read

On-site roles in New York City should be compared against commute, local salary bands, and nearby employer demand.

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Next moves

  • Tailor your resume around ai and llm instead of sending a generic application.
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Interview themes

Software EngineeringOn-siteaillmresearchaws

Watchouts

  • Compensation is hidden, so get range clarity in the first recruiter conversation.
  • Use open to tn, h-1b, and opt candidates already in the united states as part of your positioning so the recruiter does not have to infer it.
  • Show concrete examples of succeeding in on-site environments.
Role signals

Keywords to match against your background

Use these terms to decide whether your resume, portfolio, and recent projects line up with the role.

aillmresearchawsapisafetypython
Next step

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Source: job-boards.greenhouse.io · Source ID: 5109273008 · Confidence: 97/100 · Last checked: May 7, 2026

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