Forward Deployed Engineer

🕒 March 30

🇺🇸 United States – Remote

💵 $150k - $200k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

👷🏻‍♀️ Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 45%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Appen

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 1996

💼 Consulting

📣 Marketing

🤖 Artificial Intelligence

Consulting • Marketing • Artificial Intelligence

Appen is a company that specializes in providing high-quality, scalable datasets for AI models and applications. With over 25 years of experience, Appen supports the complete AI lifecycle by collecting, curating, fine-tuning, and monitoring data. Their platform is known for its flexibility, allowing enterprises to unlock the potential of their enterprise data through human-AI collaboration. Appen's global reach and expertise make them a trusted partner in accelerating the development and implementation of AI technologies across various industries.

📋 Description

• Work directly with enterprise clients to design, deploy, and optimise GenAI data solutions • Own final delivered data quality • Define requirements and clarify success criteria with clients • Shape high-quality annotation guidelines • Provide insights and innovative solutions to improve data quality, efficiency, and model outcomes • Translate ambiguous client needs into clear, scalable workflows • Deliver zero-defect GenAI datasets meeting defined acceptance and quality criteria • Build scalable, reproducible, and observable validation and automation pipelines • Reduce variance, manual review effort, rework, and time to validation • Contribute reusable quality frameworks and validators adopted across multiple projects • Collaborate across engineering, data operations, and client delivery

🎯 Requirements

• Experience working on GenAI, machine learning, or model evaluation data • Consultative problem-solving approach when leading client conversations • Hands-on experience designing and implementing data pipelines, validation systems, or workflow automation • Experience owning final data quality and acting as the authority on delivery readiness • Ability to translate business or model development needs into technical workflows and validation logic • Confidence working directly with client engineering or machine learning teams • Strong documentation prioritizing reproducibility, observability, and reliability

🏖️ Benefits

• Medical coverage • Dental coverage • Vision coverage • Retirement plan options • Paid time off • Flexibility in how and where work is delivered • Tools, resources and development opportunities to build capability over time