A

Appen

Provides human-annotated data for AI training

Forward Deployed Engineer

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeSan Francisco, CA, USA$150k - $200k /yr

About the Job

Requirements

  • At least 3 years of experience in a customer-facing technical role such as solutions engineering, solutions architecture, data or technical consulting, or data operations.
  • A bachelor's degree in Computer Science, Engineering, Data Science, Statistics, or a related field, or equivalent practical experience.
  • Experience working on generative AI, machine learning, or model-evaluation data, including large language model training, annotation, or evaluation workflows.
  • A consultative problem-solving approach to leading client conversations, asking sharp questions, and guiding stakeholders toward better decisions.
  • Ability to use vibe coding; proficiency in Python and SQL is a plus.
  • Confidence working directly with client engineering or machine learning teams.

Responsibilities

  • Act as a trusted consultative partner to clients by defining requirements, clarifying success criteria, shaping high-quality annotation guidelines, and proactively providing insights.
  • Influence the what and the why behind generative AI data solutions by translating ambiguous client needs into clear, scalable workflows.
  • Deliver generative AI datasets that meet all defined acceptance and quality criteria.
  • Define validation and automation requirements that reduce variance, manual review effort, rework, and time to validation.
  • Partner with engineering to build requirements as scalable, reproducible, and observable pipelines.
  • Contribute reusable quality frameworks and validators adopted across multiple projects.

About the Company

cb

Appen

Provides human-annotated data for AI training

Appen creates and curates large datasets used to train and improve artificial intelligence. It relies on a global, crowdsourced workforce to produce human-annotated data across text, images, audio, and video, which powers AI systems such as search engines and social feeds. Its products include data annotation services and platforms (like Figure Eight) and specialized data like mobile location data (Quadrant) to support ML pipelines. The company differentiates itself through scale, a broad range of data types, and a history of strategic acquisitions that expand its capabilities (e.g., Leapforce for search relevance, Figure Eight for annotation tooling, Quadrant for location data), enabling end-to-end data supply for enterprise AI. Its goal is to help organizations build reliable AI by providing high-quality labeled data and to capitalize on opportunities in generative and enterprise AI while returning to profitability under new leadership.

Company size
10,001+
Company stage
IPO
Headquarters
Sydney NSW, Australia
Founded
1996

Recently Posted Jobs

Explore more opportunities at Appen

See more jobs