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Research Program Manager, Human Data Campaigns

This role is central to scaling the quality and volume of data used for advanced model training. You will manage end-to-end human data campaigns, overseeing everything from defining annotation guidelines to coordinating global labeling teams. Key responsibilities involve optimizing data collection pipelines, mitigating bias in labeling efforts, and ensuring robust data governance standards are met. You must excel at project management within a technically complex, geographically distributed setting. Strong cross-functional communication skills are essential for collaborating with researchers, engineers, and external vendors. Candidates should have proven experience managing high-stakes data initiatives, contributing directly to the frontier of AI capabilities.

openai San Francisco, CA, United States

(تازہ ترین نوکریاں، سلیبس اور ٹیسٹ کی تیاری کی مکمل معلومات)

Preparing

1900

Question set

200

Duration

Permanent

Focus areas

Program ManagementData CurationAI AlignmentHuman Labeling Workflows

People Also Ask (FAQs)

What is the last date to apply for Research Program Manager, Human Data Campaigns?

The closing date is listed in the official advertisement — apply as early as possible.

How do I apply for Research Program Manager, Human Data Campaigns?

Use the official apply link on this page to submit your application. A step-by-step how-to-apply guide for this job is also linked below.

Is there negative marking in the openai test?

The marking rule is announced per test in the advertisement and roll-number-slip instructions. Many MCQ screening tests have no negative marking, but always verify it for your specific test.

What is the passing marks for this test?

The official passing marks are generally 50%, but merit is competitive — scoring above 75% is a safer target to secure an interview call.

How can I prepare for the Research Program Manager, Human Data Campaigns test?

Prepare with the free subject-wise MCQs, past papers and timed mock tests on PrepPro Academy — every question includes the answer with an explanation. Focus areas: Program Management, Data Curation, AI Alignment, Human Labeling Workflows.

Quick start

Review the job summary, then jump into prep with the same flow used for exam starts.

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