Leads technical and writing teams delivering generative AI products, coordinating customers, data, product, and research teams. Tracks annotator metrics, manages labeling initiatives, creates prompts and responses, develops stakeholder guidelines, and trains teams on LLM and dataset best practices. The role includes customer interaction, quality assurance, and exposure to potentially toxic or sensitive content.
If you have a Candidate Login already, but have forgotten your password please use the steps to reset your password. If you have forgotten your email login, please contact [email protected] subject Workday Candidate Login
When creating your Workday account and entering personal information like name, address, please do not use ALL CAPS.
Thank you!
NOTICE: For Privacy Policy please review here
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.
Similar Jobs
Cloud • Information Technology • Security • Software • Cybersecurity
Drive new business for Cloudflare’s Enterprise services across Eastern Canada. Develop territory plans, identify target accounts, build sales pipelines, present technical value propositions, negotiate contracts, achieve revenue targets, maintain strategic customer and partner relationships, and engage stakeholders from technical teams through senior executives.
Top Skills:
Cloud SolutionsCloudflareComputer NetworkingCybersecurityIaasInternet InfrastructurePaasSaaS
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
Leads health technology assessment, value, and evidence strategy for Pfizer’s genitourinary oncology portfolio. Manages HEOR, real-world evidence, economic models, global value dossiers, registries, and evidence dissemination to support reimbursement and patient access. Partners with global, regional, country, and cross-functional oncology teams, oversees vendors and project teams, and communicates findings through publications and conferences.
Aerospace • Information Technology • Software • Cybersecurity • Design • Defense • Manufacturing
Leads business systems analysis and data engineering support for military sustainment digital services. The role gathers and documents requirements, maps workflows, defines reporting and data needs, supports ETL/ELT, SQL analysis, integrations, dashboards, testing, governance, and implementation readiness. It partners with government, program, supplier, operational, product, and technical stakeholders to improve readiness and operational performance, while mentoring junior analysts and maintaining requirements, process, data, and delivery documentation.
Top Skills:
AgileAmazon RedshiftAPIsAWSAzure SynapseConfluenceData ModelingDatabricksEtl/EltGitJIRALookerMiddlewarePower BIQlikSnowflakeSplunkSQLTableau
What you need to know about the Los Angeles Tech Scene
Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.
Key Facts About Los Angeles Tech
- Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
- Key Industries: Artificial intelligence, adtech, media, software, game development
- Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
- Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering
