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HomeCompaniesWeloglobalRed Teaming | Generative AI Analyst - California

Red Teaming | Generative AI Analyst - California

Weloglobal · California · Remote · Active · Lever

Job facts

FieldValue
CompanyWeloglobal
TitleRed Teaming | Generative AI Analyst - California
Normalized title-
Department / teamWelo Data - AI Services / Data Annotation
LocationCA, United States
Work modelRemote / Remote
Employment typeFull Time
Salary-
Statusactive
ATS providerLever
Posted / first seen2026-05-25 / 2026-05-29
Changed / last seen2026-05-29 / 2026-06-06

Related slices

PageWhat it containsOpen
Company jobsActive postings from Weloglobal.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Lever.Open
Provider filtered searchThe same provider as a filtered job collection.Open
Department jobsActive postings in Welo Data - AI Services.Open
Work model jobsActive Remote postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyWeloglobal
Source2de9659a-8a12-48c4-a4ac-ed217a8126d1
ATS providerLever

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.

Full job record

Job ID9bd673a1385c831b97551e65fde39138cf5bbe97
Org IDaaa67d5b-8ec7-460b-a038-61d104e5a3fa
Source ID2de9659a-8a12-48c4-a4ac-ed217a8126d1
Board ID2de9659a-8a12-48c4-a4ac-ed217a8126d1
Providerlever
Provider Job Key089986fa-b24b-4caf-a8cb-eb854e4b8a83
TitleRed Teaming | Generative AI Analyst - California
Normalized Title
Statusactive
Activeyes
Location TextCalifornia
DepartmentWelo Data - AI Services
TeamData Annotation
Employment TypeFull Time
Workplace Typeremote
Remote Policyremote
CountryUnited States
RegionCA
City
Salary Raw
Salary Min
Salary Max
Salary Currency
Salary Period
Source URLhttps://jobs.lever.co/weloglobal/089986fa-b24b-4caf-a8cb-eb854e4b8a83
Apply URLhttps://jobs.lever.co/weloglobal/089986fa-b24b-4caf-a8cb-eb854e4b8a83/apply
First Seen At2026-05-29 06:57:57Z
Last Seen At2026-06-06 19:47:59Z
Last Checked At2026-06-06 19:47:59Z
Last Changed At2026-05-29 06:57:57Z
Inactive At
Source Posted At2026-05-25 13:58:01Z
Source Updated At
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=lever/board=weloglobal/date=2026-06-06/2026-06-06T19-47-57-590Z-a8314e8556cf13e2132f166d6aa55bcdff4868d19f6a4b0a04468a0297f7ea58.json
Event Fields
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Parsed Structured
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Extensions
{}
Native Structured
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    {
      "text": "What You’ll Do",
      "content": "\n<li>Interact with generative AI models using project-provided guidelines, safety taxonomies, and attack-vector guidance.</li>\n<li>Create and evaluate prompts designed to test model behavior across safety-related categories.</li>\n<li>Identify where model responses become unsafe, noncompliant, inconsistent, or otherwise problematic.</li>\n<li>Document model breakability, effort level, point of failure, and relevant category alignment.</li>\n<li>Review text, image, audio, video, or other multimodal content as required by the workflow.</li>\n<li>Apply detailed guidelines consistently across short, high-volume production sprints.</li>\n<li>Use sound judgment to evaluate ambiguous, edge-case, or policy-sensitive outputs.</li>\n<li>Conduct self-review to ensure work is accurate, complete, and aligned with project expectations.</li>\n<li>Flag unclear guidelines, tooling issues, or recurring model behavior patterns.</li>\n<li>Participate in calibration, feedback, and quality review sessions to improve consistency.</li>\n<li>Maintain readiness to pivot quickly between different red teaming runs when active work is launched.</li>\n"
    },
    {
      "text": "Requirements: ",
      "content": "\n<li>Native-level or near-native English proficiency with excellent written communication skills.</li>\n<li><span data-teams=\"true\">Work Authorization is required for the role.</span></li>\n<li>Strong creative writing ability and comfort constructing varied prompts.</li>\n<li>Experience with red teaming, safety data annotation, content evaluation, safety review, content moderation, QA, or AI model evaluation preferred.</li>\n<li>Strong attention to detail and ability to follow complex project guidelines.</li>\n<li>Ability to think critically and evaluate open-ended model responses.</li>\n<li>Comfort working with sensitive, adult, NSFW, or policy-relevant content where required.</li>\n<li>Interest in generative AI, AI safety, large language models, or emerging AI technologies.</li>\n<li>Ability to work quickly and accurately during short production windows.</li>\n<li>Bachelor’s degree or equivalent practical experience preferred.</li>\n"
    },
    {
      "text": "Ways to Stand Out from the Crowd",
      "content": "\n<li>Background in creative writing, English, linguistics, journalism, communications, policy, trust and safety, or content moderation.</li>\n<li>Experience evaluating generative AI prompts and responses.</li>\n<li>Familiarity with AI safety, red teaming, jailbreak testing, RLHF, or model evaluation workflows.</li>\n<li>Experience working with safety taxonomies, policy guidelines, evaluation rubrics, or defect categories.</li>\n<li>Prior experience reviewing sensitive, adult, NSFW, or policy-relevant content in a professional setting.</li>\n<li>Experience with multimodal AI workflows involving text, image, audio, or video.</li>\n<li>QA/testing experience within AI, data operations, content review, or annotation environments.</li>\n<li>Ability to explain a repeatable approach for staying consistent during high-volume, judgment-based work.</li>\n"
    }
  ],
  "country": "US",
  "createdAt": 1779717481342,
  "updatedAt": null,
  "categories": {
    "team": "Data Annotation",
    "location": "California",
    "commitment": "Full Time",
    "department": "Welo Data - AI Services",
    "allLocations": [
      "California"
    ]
  },
  "salaryRange": null,
  "workplaceType": "remote"
}
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