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
Big Data • Food • Hardware • Machine Learning • Retail • Automation • Manufacturing
The People Experience Advisor supports service operations by ensuring compliance with policies, improving processes, and enhancing employee experience through effective onboarding and policy interpretation.
.png)
eCommerce • Fintech • Hardware • Payments • Software • Financial Services
Own the full outbound B2B sales cycle for mid-market merchants, including prospecting, pipeline development, discovery, product demonstrations, negotiations, and closing complex multi-product deals. Build net-new business, tailor Square ecosystem solutions, forecast accurately in Salesforce, collaborate cross-functionally, and consistently achieve revenue targets.
Top Skills:
Salesforce
Aerospace • Information Technology • Software • Cybersecurity • Design • Defense • Manufacturing
Provides aerospace quality assurance and QMS oversight for C-17 maintenance operations. Performs maintenance and records audits, failure and forensic analysis, root cause analysis, compliance reporting, and quality checks against technical orders and regulations. Trains personnel on QMS and SMS, addresses audit findings, promotes safety and first-time quality, and advises management on compliance risks. The role is fully onsite in Trenton, Ontario, with up to 10% travel.
Top Skills:
As9100Automated Data Aircraft Management (Adam)Electronic Record Keeping System (Erks)ExcelMicrosoft OutlookMicrosoft PowerpointMicrosoft WordQuality Management System (Qms)Safety Management System (Sms)
What you need to know about the Calgary Tech Scene
Employees can spend up to one-third of their life at work, so choosing the right company is crucial, not just for the job itself but for the company culture as well. While startups often offer dynamic culture and growth opportunities, large corporations provide benefits like career development and networking, especially appealing to recent graduates. Fortunately, Calgary stands out as a hub for both, recognized as one of Startup Genome's Top 100 Emerging Ecosystems, while also playing host to a number of multinational enterprises. In Calgary, job seekers can find a wide range of opportunities.
