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Forward Deployed Engineer

appen

Role overview

Qualifications

  • Experience working on GenAI, machine learning, or model evaluation data.
  • A consultative problem-solving approach in client conversations.
  • Hands-on experience designing and implementing data pipelines.
  • Previous experience in owning final data quality.

Responsibilities

  • Act as a trusted consultative partner to clients by defining requirements.
  • Deliver zero-defect GenAI datasets that meet all defined acceptance criteria.
  • Build scalable, reproducible, and observable validation and automation pipelines.
  • Contribute reusable quality frameworks and validators across multiple projects.

Key facts

Hard skills

Other skills

  • Problem Solving
  • Consultative Approaches
  • Collaboration
  • Communication

About the company

appen logo

appen

Artificial Intelligence & Machine Learning Services

We help our clients enhance their best-in-class products and services around the world, including search engines, social media platforms, voice recognition systems, sentiment analysis, and eCommerce sites. All of that wouldn’t be possible without our team of more than 1 million flexible workers. The world of tech is moving fast, and we help our clients meet the ever-changing needs of their customers. We take pride in our diverse, international team and the flexible and full-time opportunities we offer. Remote work is changing how the world does business, and we’re proud to be pioneers in the movement. If you’re looking for a work-from-home opportunity, join us! At Appen, our team is an international force to be reckoned with. Operating in over 130 countries and working in more than 180 languages and dialects, we support the work of some of the world’s top technology companies. With Appen, you’ll get to work on innovative projects and grow your skills – all on your own schedule. Please be aware that Appen recruiters will only reach out to you via official channels (e.g., directly from @appen.com email addresses, or through our recruiters who are noted as such on LinkedIn). If you have suspicions about an interaction, ask for official email communications from an @appen.com. We will never ask you to send money to apply or start a job with us. We will also never send a check in advance. We will never ask you to send personal identifiable information outside of our secure job site, Appen Connect. All job applications should be submitted through our Jobs page to the applicable site.

Company details

Company typeScaleup
IndustryArtificial Intelligence & Machine Learning Services
Company size501 - 1000

Links

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Job description

Role Purpose

The Forward Deployed Engineer works directly with enterprise clients to design, deploy, and optimise GenAI data solutions, with full ownership of final delivered data quality. Embedded across engineering, data operations, and client delivery, this role ensures datasets, pipelines, workflows, and automations meet defined accuracy, reliability, and performance requirements for GenAI model development.

Your Impact

  • Act as a trusted consultative partner to clients by defining requirements, clarifying success criteria, shaping high‑quality annotation guidelines, and proactively providing insights and innovative solutions that strengthen trust and improve data quality, efficiency, and model outcomes.
  • Influence the what and the why behind GenAI data solutions by translating ambiguous client needs into clear, scalable workflows.
  • Deliver zero-defect GenAI datasets that meet all defined acceptance and quality criteria.
  • Build scalable, reproducible, and observable validation and automation pipelines that reduce variance, manual review effort, rework, and time to validation.
  • Contribute reusable quality frameworks and validators adopted across multiple projects.

What you Bring
  • Experience working on GenAI, machine learning, or model evaluation data.
  • A consultative problem-solving approach when leading client conversations, asking sharp questions, and guiding stakeholders toward better decisions.
  • Hands-on experience designing and implementing data pipelines, validation systems, or workflow automation.
  • Previous experience in owning final data quality and acting as the authority on delivery readiness.
  • The ability to translate business or model development needs technical workflows and validation logic.
  • Confidence in working directly with client engineering or machine learning teams.
  • Strong documentation that prioritizes reproducibility, observability, and reliability.

    • Why You’ll Love Working Here

    At Appen, we foster a culture of innovation, collaboration, and excellence. We value curiosity, accountability, and a commitment to delivering the highest-quality AI solutions for frontier models.

    You’ll work on complex challenges that shape the future of AI across industries and geographies, alongside talented people in a culture that values humility over ego. You’ll have the flexibility to deliver in a way that works for you and your team, supported by tools, resources and development opportunities to continue to build your capability over time.

    About Appen

    Appen has been a leader in AI training data for over 30 years. We specialise in human generated data to train, fine tune, and evaluate models across generative AI, large language models, computer vision, and speech recognition. Our AI assisted data annotation platform and global crowd of more than 1 million contributors in over 200 countries support model pre-training, supervised fine tuning, evaluation and benchmarking, safety and red teaming, and multilingual global expansion.

    The total target compensation for this full-time role ranges from $150K–$200K USD annually, inclusive of base salary and performance-based incentive. Actual compensation is determined based on role, level, experience and technical expertise. Appen offers a comprehensive benefits package, including medical, dental, and vision coverage, retirement plan options and paid time off.

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    MR

    Marcus Rivera

    Chief Revenue Officer

    m.rivera@company.com
    linkedin.com/in/marcusrivera
    Unlocked after you apply
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