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Data Annotation Services Jobs (NOW HIRING)

Pumpkin Intelligence, Inc.

Data Labeler

$30K - $50K/yr

Help improve evaluation guidelines and annotation processes * Contribute to the datasets used to ... All the hardware, tools, and services you need How We Hire * Intro call with HR (25 min) * Take ...

General Motors

Staff ML Systems Engineer

Sunnyvale, CA · On-site

We own a modern full-stack architecture including TypeScript/React, Python, GraphQL, Golang , and ML model services , which powers data-annotation pipelines and machine-led training data solutions at ...

Jobgether

AI Operations Manager (Remote - US)

Manhattan, NY · On-site +1

$95K - $145K/yr

... data annotation, or related fields. 2+ years in technical solutions, sales engineering, or customer-facing roles within Professional Services or Systems Engineering. Experience with coding and ...

Jobgether

AI Operations Manager (Remote - US)

Manhattan, NY · On-site +1

$95K - $145K/yr

... data annotation, or related fields. 2+ years in technical solutions, sales engineering, or customer-facing roles within Professional Services or Systems Engineering. Experience with coding and ...

RWS Group

Program Manager - Train AI Data Services

$120K - $140K/yr

About RWS Train AI Data Services Training or fine-tuning artificial intelligence (AI) requires data ... Oversee complex workstreams including annotation, labeling, linguistic validation, data operations ...

RWS Group

Program Manager - Train AI Data Services

$120K - $140K/yr

About RWS Train AI Data Services Training or fine-tuning artificial intelligence (AI) requires data ... Oversee complex workstreams including annotation, labeling, linguistic validation, data operations ...

RWS Group

Program Manager - Train AI Data Services

$120K - $140K/yr

About RWS Train AI Data Services Training or fine-tuning artificial intelligence (AI) requires data ... Oversee complex workstreams including annotation, labeling, linguistic validation, data operations ...

Turing

Client Director, Frontier Data - US

Palo Alto, CA · On-site

$255K - $325K/yr

Turing also works with Fortune 500 enterprises across financial services, life sciences, healt ... Design and oversee tools or scripts for data validation, annotation accuracy checks, and pipeline ...

Abaka AI

Business Development Associate

Mountain View, CA · On-site

$52K - $72K/yr

Our offerings include a diverse catalog of off-the-shelf datasets-including image, video, multimodal, reasoning, and 3D data-as well as comprehensive data collection and annotation services. Whether ...

Agility Robotics

Senior Director, AI

Bodega Bay, CA · On-site +1

$257K - $402K/yr

Secure and allocate funding for specialized datasets and data annotation services. * Evaluate and procure necessary software licenses and tools for AI development and simulation. * Regularly report ...

Agility Robotics

Staff AI Engineer, Perception

Salem, OR

$207K - $323K/yr

Experience with MLOps such as (but not limited to) data annotation services, data storage, model evaluation tools, and model deployment * Publications in your field (CVPR, ICCV, RSS, ICRA preferred ...

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All JobsData Annotation Services Jobs

Data Annotation Services information

What are data annotation services?

Data annotation services involve labeling or tagging data—such as images, text, audio, or video—to make it understandable for machine learning models. These services are essential in training artificial intelligence systems to recognize patterns, objects, or other relevant information in raw data. Companies use data annotation to improve the accuracy and effectiveness of AI applications, such as self-driving cars, chatbots, and image recognition. Professional annotators or specialized platforms often perform these tasks to ensure high-quality, consistent results.

What are the key skills and qualifications needed to thrive in data annotation services?

To excel in Data Annotation Services, strong attention to detail, data literacy, and a foundational understanding of data labeling processes are essential, often requiring a high school diploma or equivalent. Familiarity with annotation platforms, labeling tools, and sometimes basic knowledge of scripting or data management systems is typically expected. Strong work ethic, consistency, and effective communication skills help individuals stand out in collaborative, deadline-driven environments. These capabilities ensure high-quality, accurate labeled data, which is critical for training reliable machine learning models.

What are some common challenges faced when working in data annotation services, and how can I address them?

In data annotation services, one common challenge is maintaining consistency and accuracy, especially when handling large datasets or ambiguous data points. Clear annotation guidelines and regular communication with team leads help ensure that everyone interprets the data similarly. Additionally, repetitive tasks can lead to fatigue, so it's important to take scheduled breaks and leverage available annotation tools to streamline workflows. Collaborating with peers to discuss edge cases also helps improve overall data quality and fosters a supportive team environment.

What is the difference between Data Annotation Services vs Data Labeling Specialists?

AspectData Annotation ServicesData Labeling Specialists
CredentialsTypically no formal credentials required; focus on trainingOften have training in specific tools or industry standards
Work EnvironmentCollaborative, often remote or in-office teamsSimilar, working in teams or independently on labeling tasks
Industry UsageUsed by AI/ML companies for training datasetsEmployed in similar settings, focusing on labeling data for AI models
Search & Comparison IntentUnderstanding services offered for data preparationLooking for roles or tasks related to data labeling

Data Annotation Services encompass the broader process of preparing and annotating data for AI and machine learning projects, often provided by specialized companies. Data Labeling Specialists are individual professionals or team members who perform the actual labeling tasks within these services. While both are closely related, services refer to the overall offering, whereas specialists are the personnel executing the work.

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Data Annotation Services jobs near you
Infographic showing various Data Annotation Services job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 16% Part Time, and 3% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution.

Data Labeler

Pumpkin Intelligence, Inc.

Remote

$30K - $50K/yr

Other

PTO

This job post has expired 1 day ago. 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