Appen
Appen
Appen develops the data foundations that support artificial intelligence products and applications. Founded in 1996, the company provides scalable services across the AI data lifecycle, including data collection, curation, model fine-tuning, and monitoring. Its work combines human expertise with AI to help enterprises use their data more effectively. With experience spanning artificial intelligence, consulting, and marketing, Appen supports organizations developing and deploying AI technologies across industries.

Forward Deployed Engineer, GenAI Data — Appen

Design and optimize generative AI data solutions for Appen’s enterprise clients. Lead data quality, validation, automation, and scalable pipeline delivery.

Description

  • Collaborate with enterprise clients to design, deploy, and improve generative AI data solutions
  • Take ownership of the quality of delivered datasets
  • Establish project requirements and align stakeholders on measurable success criteria
  • Develop robust annotation guidance and surface actionable quality insights
  • Turn unclear client objectives into well-defined, scalable workflows
  • Produce generative AI datasets that satisfy agreed acceptance and quality standards
  • Specify validation and automation needs to reduce inconsistency, manual review, rework, and validation time
  • Work with engineering to create scalable, reproducible, and observable data pipelines
  • Develop reusable quality frameworks and validation tools for adoption across projects

Requirements

  • At least three years of experience in a client-facing technical position, such as solutions engineering, solutions architecture, data or technical consulting, or data operations
  • Bachelor’s degree in computer science, engineering, data science, statistics, or a related discipline, or equivalent practical experience
  • Background in generative AI, machine learning, or model-evaluation data, including LLM training, annotation, or evaluation workflows
  • Consultative approach to client problem-solving, with the ability to ask incisive questions and help stakeholders make stronger decisions
  • Ability to use vibe coding tools; Python and SQL proficiency is a plus
  • Comfort working directly with client engineering and machine learning teams

Benefits

  • Medical insurance coverage
  • Dental insurance coverage
  • Vision insurance coverage
  • Retirement plan options
  • Paid time off
  • Flexible work arrangements
  • Access to tools, resources, and professional development opportunities

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