The Role
Works directly with enterprise clients to design, deploy, and optimize GenAI data solutions. Translates ambiguous requirements into scalable datasets, annotation guidelines, validation workflows, automation, and observable pipelines. Owns delivered data quality and partners with engineering and client machine learning teams to meet accuracy, reliability, and performance standards. Develops reusable quality frameworks and validators for GenAI model development.
Summary Generated by Built In
Role Purpose
The Forward Deployed Engineer works directly with enterprise clients to design, deploy, and optimize 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.
- Influence the what and the why behind GenAI data solutions by translating ambiguous client needs into clear, scalable workflows.
- Deliver GenAI datasets that meet all defined acceptance and quality criteria.
- Define the 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.
- 3+ years of experience in a customer-facing technical role such as solutions engineering, solutions architect, data or technical consulting, or data operations.
- Bachelor's degree in Computer Science, Engineering, Data Science, Statistics, or a related field, or equivalent practical experience.
- Experience working on GenAI, machine learning, or model evaluation data, including LLM training, annotation, or evaluation workflows.
- A consultative problem-solving approach when leading client conversations, asking sharp questions, and guiding stakeholders toward better decisions.
- Ability to vibe code but proficiency in Python and SQL is a plus
- Confidence in working directly with client engineering or machine learning teams.
This is a hybrid role based in San Francisco, CA. You will be required to work from our San Francisco office two days per week.
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 AppenAppen has been a leader in AI training data for over 30 years. We specialize 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.
Skills Required
- 3+ years of experience in a customer-facing technical role 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 field, or equivalent practical experience.
- Experience with GenAI, machine learning, or model evaluation data, including LLM training, annotation, or evaluation workflows.
- Consultative problem-solving approach when leading client conversations and guiding stakeholders.
- Ability to vibe code.
- Proficiency in Python and SQL.
- Confidence working directly with client engineering or machine learning teams.
- Ability to work from the San Francisco office two days per week.
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The Company
What We Do
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.
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