前向部署工程师
Forward Deployed Engineer
职位职责
Forward Deployed Engineer 直接与企业客户合作，设计、部署和优化 GenAI 数据解决方案，并对最终交付的数据质量拥有完全责任。该角色嵌入到工程、数据运营和客户交付团队中，确保数据集、流程、工作流和自动化满足 GenAI 模型开发的定义准确性、可靠性和性能要求。
你的影响
- 通过定义需求、明确成功标准、制定高质量的标注指南，以及主动提供见解和创新解决方案，成为客户的可信赖顾问，增强信任并提升数据质量、效率和模型效果。
- 通过将模糊的客户需求转化为清晰、可扩展的工作流程，影响 GenAI 数据解决方案的“什么”和“为什么”。
- 交付零缺陷的 GenAI 数据集，满足所有定义的验收和质量标准。
- 构建可扩展、可重复和可观察的验证和自动化流程，减少差异、人工审查工作量、返工和验证时间。
- 贡献可跨多个项目复用的质量框架和验证器。
你带来的能力
- 在 GenAI、机器学习或模型评估数据方面有经验。
- 在主导客户对话时，具备咨询式的问题解决方法，提出尖锐的问题，并引导利益相关者做出更好的决策。
- 有设计和实现数据流程、验证系统或工作流自动化的实际经验。
- 有负责最终数据质量并作为交付就绪权威的经验。
- 能够将业务或模型开发需求转化为技术流程和验证逻辑。
- 有信心直接与客户工程或机器学习团队合作。
- 具有注重可重复性、可观测性和可靠性的强文档能力。
为什么你会喜欢在这里工作
在 Appen，我们培养创新、协作和卓越的文化。我们重视好奇心、责任感，以及对为前沿模型提供最高质量 AI 解决方案的承诺。
你将参与塑造人工智能未来复杂挑战，与才华横溢的人一起工作，在一个重视谦逊而非自负的文化中，你将拥有以适合你和团队的方式交付工作的灵活性，同时获得工具、资源和发展机会，继续提升你的能力。
查看英文原文
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.
Originally posted on Himalayas