Hark

Hark

Data Collection

San Jose · Full-time

Sponsorship not specified$150k-$250kDetected 83 days ago
Machine LearningAgentic AIResearch

About the role

  • That means running end-to-end campaigns across human feedback, synthetic data, and product-embedded signals.
  • This is a high-ownership role on a small team.

Responsibilities

  • Design and run data collection programs end-to-end - scoping requirements, writing instructions, defining success criteria, and driving execution with vendors and annotators.
  • Manage external vendor relationships. Be the primary interface between Hark and data partners, keeping quality high and timelines on track.
  • Collaborate closely with model researchers and engineers to understand what data is needed, translate that into operational plans, and deliver.
  • Track program metrics, surface insights, and drive continuous improvements to quality, throughput, and process.
  • You'll own data collection at Hark - the programs, the vendors, and the pipelines that turn raw signal into training data our models can actually learn from.
  • That means running end-to-end campaigns across human feedback, synthetic data, and product-embedded signals. The quality of what we collect shapes the quality of what we ship, and this role owns that loop.
  • This is a high-ownership role on a small team. You'll work directly with researchers, engineers, and external partners, and the data you deliver will directly influence how our models behave in the real world.
  • The quality of what we collect shapes the quality of what we ship, and this role owns that loop.
  • You'll work directly with researchers, engineers, and external partners, and the data you deliver will directly influence how our models behave in the real world.
  • Hark is an artificial intelligence company building advanced, personalized intelligence.

Requirements

  • Experience working with external vendors or contractors.
  • You can translate between research requirements and operational reality, and you keep everyone aligned without letting things slip.
  • Comfort with ambiguity and fast iteration.
  • 2+ years of relevant experience in data operations, program management, or a related field.

Nice to have

  • Experience managing human feedback or preference data programs.
  • Familiarity with data annotation platforms or labeling pipelines.
  • Experience with synthetic data generation or evaluation dataset design.
  • Background working at a fast-moving AI or research-driven company.
  • The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience.
  • This information will be shared if an employment offer is extended.

Compensation

  • The US base salary range for this full-time position is between $150,000 - $250,000 annually.
  • The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience.
  • The total compensation package may also include additional components/benefits depending on the specific role.
  • This information will be shared if an employment offer is extended.

Benefits

  • One that is proactive, multimodal, and capable of interacting with the world through speech, text, vision, and persistent memory.

This listing is sourced directly from Hark's careers page and normalized into a canonical job model.