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Red Teaming | Generative AI Analyst - California

Welo Global

Key Facts

Remote From: 
California (USA)
Full time
English

Other Skills

  • •
    Quality Assurance
  • •
    Detail Oriented
  • •
    Critical Thinking

Roles & Responsibilities

  • Native-level or near-native English proficiency with excellent written communication skills.
  • Strong creative writing ability and comfort constructing varied prompts.
  • Experience with red teaming, safety data annotation, content evaluation, safety review, content moderation, QA, or AI model evaluation preferred.
  • Bachelor’s degree or equivalent practical experience preferred.

Requirements:

  • Interact with generative AI models using project-provided guidelines, safety taxonomies, and attack-vector guidance.
  • Create and evaluate prompts designed to test model behavior across safety-related categories.
  • Identify where model responses become unsafe, noncompliant, inconsistent, or otherwise problematic.
  • Document model breakability, effort level, point of failure, and relevant category alignment.

Job description

About the Role

We are hiring Red Teaming | Generative AI Analyst to support generative AI safety evaluation. In this role, you will interact with AI models, create and evaluate prompts, and identify where model responses fail against defined safety expectations.

Project Details

  • Job Title: Red Teaming | Generative AI Analyst
  • Location: Remote with the option to work onsite in Santa Clara, CA area.
  • Hours: 40 hours per week
  • Employment Type: W2 Full-Time Employee
  • Pay Rate: $47.44/hour

What You’ll Do
  • Interact with generative AI models using project-provided guidelines, safety taxonomies, and attack-vector guidance.
  • Create and evaluate prompts designed to test model behavior across safety-related categories.
  • Identify where model responses become unsafe, noncompliant, inconsistent, or otherwise problematic.
  • Document model breakability, effort level, point of failure, and relevant category alignment.
  • Review text, image, audio, video, or other multimodal content as required by the workflow.
  • Apply detailed guidelines consistently across short, high-volume production sprints.
  • Use sound judgment to evaluate ambiguous, edge-case, or policy-sensitive outputs.
  • Conduct self-review to ensure work is accurate, complete, and aligned with project expectations.
  • Flag unclear guidelines, tooling issues, or recurring model behavior patterns.
  • Participate in calibration, feedback, and quality review sessions to improve consistency.
  • Maintain readiness to pivot quickly between different red teaming runs when active work is launched.

    • Requirements:
  • Native-level or near-native English proficiency with excellent written communication skills.
  • Work Authorization is required for the role.
  • Strong creative writing ability and comfort constructing varied prompts.
  • Experience with red teaming, safety data annotation, content evaluation, safety review, content moderation, QA, or AI model evaluation preferred.
  • Strong attention to detail and ability to follow complex project guidelines.
  • Ability to think critically and evaluate open-ended model responses.
  • Comfort working with sensitive, adult, NSFW, or policy-relevant content where required.
  • Interest in generative AI, AI safety, large language models, or emerging AI technologies.
  • Ability to work quickly and accurately during short production windows.
  • Bachelor’s degree or equivalent practical experience preferred.

    • Ways to Stand Out from the Crowd
  • Background in creative writing, English, linguistics, journalism, communications, policy, trust and safety, or content moderation.
  • Experience evaluating generative AI prompts and responses.
  • Familiarity with AI safety, red teaming, jailbreak testing, RLHF, or model evaluation workflows.
  • Experience working with safety taxonomies, policy guidelines, evaluation rubrics, or defect categories.
  • Prior experience reviewing sensitive, adult, NSFW, or policy-relevant content in a professional setting.
  • Experience with multimodal AI workflows involving text, image, audio, or video.
  • QA/testing experience within AI, data operations, content review, or annotation environments.
  • Ability to explain a repeatable approach for staying consistent during high-volume, judgment-based work.
    •
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