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Executive Data Labeler Jobs (NOW HIRING)

Pumpkin Intelligence, Inc.

Data Labeler

$30K - $50K/yr

Label and categorize model outputs according to internal evaluation frameworks * Moderate sensitive ... Final conversation with our CEO (35 min) Please submit your application in English.

Conduit

Data and Perception Engineer

San Francisco, CA · On-site

$134K - $162K/yr

You have built end-to-end pipelines from training to inference, including the data labeling muscle ... You can do a plant tour, push back on a CEO, and earn the trust of an operator who has never seen a ...

New

Redhorse Corporation

Data Scientist

Arlington, VA · On-site +1

Data Scientist with 4 years of experience including experience in applied NLP, data labeling ... In accordance with Executive Order 14042 as a Federal Contractor Redhorse requires all U.S. new ...

Cummins

Manager, Data Posture Monitoring

Columbus, IN · On-site

Develop executive reporting on implementation progress, control coverage, incident trends ... Strong understanding of data discovery, classification, labeling, and sensitive-data handling ...

Blue Acorn iCi

Data Product Lead (Dallas, TX)

Dallas, TX · On-site

... executive leadership reviews. * Translate business priorities and Product Manager requirements into ... Drive implementation of consent management strategies, data labeling standards, DULE policies, and ...

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Executive Data Labeler information

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$49.5K

$76.2K

$107.5K

How much do executive data labeler jobs pay per year?

As of Sep 1, 2026, the average yearly pay for executive data labeler in the United States is $76,244.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,000.00 and $97,500.00 per year, depending on experience, location, and employer.

What is the difference between Executive Data Labeler vs Data Annotator?

AspectExecutive Data LabelerData Annotator
CredentialsHigh school diploma or equivalent; some roles prefer certifications in data managementHigh school diploma or equivalent; basic training often provided
Work EnvironmentOffice or remote; collaborative with data science teamsOffice or remote; focused on labeling data under supervision
Industry UsageUsed in AI/ML projects, data management teamsUsed in AI/ML data preparation, machine learning workflows
Search/Comparison IntentHigh overlap in data labeling tasks, with added responsibilities for quality control

Executive Data Labelers typically handle complex data labeling tasks with some oversight, often requiring additional skills or certifications. Data Annotators focus on basic labeling tasks, usually with less experience needed. Both roles are essential in AI/ML projects, but Executive Data Labelers often have more responsibilities and work closely with data science teams.

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Executive Data Labeler jobs near you
Infographic showing various Executive Data Labeler job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $76,244 per year, or $36.7 per hour.

Data Labeler

Pumpkin Intelligence, Inc.

Remote

$30K - $50K/yr

Other

PTO

This job post has expired today. Applications are no longer accepted.

Job description

AI Safety Reviewer

White Circle is an AI Safety company building the safety, reliability, and optimization layer for AI systems. At the core of our platform are policies – simple natural-language rules that define what an AI model should and shouldn't do. We automatically test, enforce, and continuously improve these policies at scale.

We've raised $11M from top funds, founders, and senior leaders at OpenAI, Anthropic, HuggingFace, Mistral, DeepMind, Datadog, Sentry, and others. We process over one hundred million API calls every month. We fine-tune and train our own LLMs so they run faster and cheaper than any open or proprietary model.

We're a small, highly focused team. If you want to work deeply on hard problems, see your work ship to production quickly, and influence how AI safety is actually built – you're the one we need.

In This Role, You Will
  • Review and evaluate AI conversations and model outputs
  • Assess responses for safety, quality, accuracy, policy compliance, and user intent
  • Identify harmful, unsafe, misleading, or low-quality behavior
  • Label and categorize model outputs according to internal evaluation frameworks
  • Moderate sensitive content and identify policy violations
  • Compare, rank, and score model responses
  • Investigate edge cases and ambiguous situations
  • Provide structured feedback to researchers and engineers
  • Help improve evaluation guidelines and annotation processes
  • Contribute to the datasets used to train and evaluate AI systems
We're Looking For Someone Who
  • Has exceptional attention to detail
  • Can make consistent decisions across large volumes of data
  • Enjoys analyzing nuanced situations where there isn't always a clear answer
  • Can follow guidelines while exercising good judgment
  • Has strong written English skills
  • Communicates clearly and explains reasoning well
  • Is curious about AI and how these systems work
You Might Be A Great Fit If You
  • Have experience with content moderation, trust & safety, quality assurance, compliance, or policy enforcement
  • Have experience in data annotation, AI evaluation, RLHF, or model assessment
  • Have worked with AI tools extensively and understand their strengths and limitations
  • Enjoy finding edge cases and unusual model behavior
Important Note

This role may involve reviewing content that is offensive, harmful, violent, sexual, or otherwise disturbing. We provide tooling, and support, but candidates should be comfortable working with sensitive content when necessary.

Why White Circle
  • Salary of $30,000 to $50,000 + equity
  • Paid time off in line with your local regulations, no matter where you work from
  • All the hardware, tools, and services you need
How We Hire
  1. Intro call with HR (25 min)
  2. Take-home assignment
  3. Final conversation with our CEO (35 min)

Please submit your application in English.

Apply