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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.

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 ...

ICON

Senior Data Engineer

Austin, TX · On-site

$105K - $142K/yr

You will work with our AI engineers, data labelers and external data providers to create large ... Executive Order 11246, Section 503 of the Rehabilitation Act of 1973 (as amended) and the Vietnam ...

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 ...

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 ...

Takeda

Global Labeling Lead

Cambridge, MA

Interprets scientific and clinical data and leads development of labeling to optimize product ... Prepares final proposed labeling for review by the Labeling Team and approval by the executive ...

Calyx Containers

Sales Executive

West Valley City, UT · On-site

Experience in packaging, labels, cannabis, CPG, manufacturing, or technical product sales is ... Strong CRM discipline and ability to maintain accurate pipeline and forecast data. * Ability to ...

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All JobsData Labeler JobsExecutive Data Labeler Jobs

Executive Data Labeler information

See salary details

$49.5K

$76.2K

$107.5K

How much do executive data labeler jobs pay per year?

As of Jul 21, 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 highest paying job in data?

In the data field, roles such as Data Science Managers, Machine Learning Engineers, and Data Architects tend to have the highest salaries due to their advanced skills and responsibilities. These positions often require strong technical expertise, experience with big data tools, and sometimes advanced degrees or certifications. Compensation varies by industry and location but generally exceeds other data-related roles.

What jobs make $1,000,000 a year?

Executive Data Labelers typically do not earn $1,000,000 annually; such high salaries are usually associated with top executives, successful entrepreneurs, or highly specialized roles in finance, technology, or investment sectors. Achieving this level of income often requires extensive experience, advanced skills, and leadership positions or ownership stakes.

How much does a data labeler make?

Data labelers typically earn between $12 and $20 per hour, depending on experience, location, and the complexity of labeling tasks. Many entry-level positions are part-time or freelance, with some roles offering higher pay for specialized skills or certifications in data annotation tools.

Is data labelling a good career?

Data labeling is a foundational role in machine learning and AI development, involving annotating data such as images, text, or audio to improve model accuracy. It often requires attention to detail and familiarity with labeling tools, and can offer flexible schedules and entry-level opportunities, but may have limited advancement without additional technical skills. Overall, it can be a viable starting point in the tech industry for those interested in data and AI fields.

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.

More about Executive Data Labeler jobs
What cities are hiring for Executive Data Labeler jobs? Cities with the most Executive Data Labeler job openings:
What are the most commonly searched types of Data Labeler jobs? The most popular types of Data Labeler jobs are:
What states have the most Executive Data Labeler jobs? States with the most job openings for Executive Data Labeler jobs include:
What job categories do people searching Executive Data Labeler jobs look for? The top searched job categories for Executive Data Labeler jobs are:
Executive Data Labeler jobs near you
Infographic showing various Executive Data Labeler job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% 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

Posted 28 days ago

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