Salary
≈ $150k – $307k per year (Estimated)
Location
In office (United States)
Seniority
Staff · 1+ year exp
Employment
Full-Time
Confirmed on the employer's own hiring board on Oct 23, 2026. First seen by Alion on Sep 1, 2026.
Overview
Company
Impact
Profile match
Welo Data works with technology companies to provide datasets that are high-quality, ethically sourced, relevant, diverse, and scalable to supercharge their AI models. As a Welocalize brand, Welo Data leverages over 25 years of experience in partnering with the world's most innovative companies and brings together a curated global community of over 500,000 AI training and domain experts to offer services that span:- Annotation and Labeling: Transcription, summarization, image and video classification and labeling.- Enhancing LLMs: Prompt engineering, SFT, RLHF, red teaming and adversarial model training, model output ranking.- Data Collection and Generation: From institutional languages to remote field audio collection.- Relevance and Intent: Authoritative relevance solutions across any discovery target, with mature operating models and a highly trained global workforce.- The Welo Data advisory team members bring practical, applied AI expertise to your projects. They have both strong academic experience and a deep working knowledge of state-of-the-art AI tools, frameworks, and best practices.
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Job Responsibilities:
The Lead Generative AI Analyst plays a pivotal role in leading technical and writing teams to deliver NEMO products. This position also involves customer-facing responsibilities, ensuring world-class quality through tracking metrics, labeling initiatives, and training stakeholders. Exposure to potentially sensitive content may be required.Responsibilities:
- Lead technical and writing teams to deliver NEMO products.
- Act as the liaison between customers, DataFactory teams, product teams, and research teams.
- Track annotator metrics to ensure top-quality deliverables.
- Write creative prompts and responses across diverse topics.
- Manage labeling initiatives with third-party firms and internal customers.
- Develop and update detailed guidelines and specifications for stakeholders.
- Train teams on best practices for creating large language models and datasets.
- Handle potentially toxic or offensive content as required (e.g., sexually explicit, graphic, or disturbing material).
Additional Job Details:
Requirements:
- Proven track record of delivering quality products on time.
- Native-level English proficiency with excellent written and verbal communication skills.
- Self-driven, motivated, and enthusiastic about working on state-of-the-art machine learning tools.
- Domain knowledge in specialized fields (e.g., Law, Gardening, Biology, US History, Academic Engineering).
- 4-year accredited college degree or equivalent experience.
Ways to Stand Out:
- Over 1 year of experience delivering products in the LLM space.
- College degree or experience in Linguistics, English Literature, Creative Writing, Journalism, STEM, or relevant domain knowledge.
- Deep understanding of large language models and RLHF.
- Experience in labeling and tagging frames/tasks/prompts for DNN preparation.
- QA/testing experience.
- Python scripting skills are a plus.
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