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Contract Data Annotation Jobs (NOW HIRING)

Mercor

Data Scientist - AI/ML Expert

New York, NY · Remote

$70 - $100/hr

Contract Compensation: $70-$100/hour Location: Remote Commitment: 40 hours/week Role ... Prior experience with data annotation , labeling, evaluation, or human feedback collection.

campus4tech

Technical Program Manager III

Mountain View, CA · On-site

$152K - $197K/yr

Onsite Contract Duration: 12 months Summary: The Client's R&D Operations Organization is seeking a ... Strong understanding of ML development workflows, data pipelines, and annotation lifecycle.

Weekday AI

General Counsel

$80 - $105/hr

Collaborate with product and research teams to refine training data, annotation frameworks, and best practices for AI-driven contract review systems * Contribute to the development of high-quality ...

Mercor

Data Scientist | Upto $100/hr

New York, NY · Remote

$100/hr

Contract Compensation: $70-$100/hour Location: Remote Commitment: 40 hours/week Role ... Prior experience with data annotation, labeling, evaluation, or human feedback collection.

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Contract Data Annotation information

What is the difference between Contract Data Annotation vs Data Labeler?

AspectContract Data AnnotationData Labeler
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote or on-site, project-basedRemote or on-site, task-based
Industry UsageAI/ML training, tech companiesAI/ML training, tech companies
Job FocusAnnotating data for machine learning modelsLabeling data to improve AI algorithms

Contract Data Annotation involves completing specific annotation projects for AI training, often on a contractual basis. Data Labelers focus on labeling data to enhance machine learning models, typically performing similar tasks. Both roles require attention to detail and are used in AI/ML industries, but Contract Data Annotation emphasizes project-based work with defined deliverables.

What is a contract data annotation job?

A contract data annotation job involves labeling or tagging data—such as images, text, audio, or video—according to specific guidelines, usually on a temporary or project-based contract. These annotations help train machine learning models by providing accurate, human-labeled examples for algorithms to learn from. Contract workers are typically hired for a set period or project and may work remotely or on-site, depending on the employer. The work requires attention to detail, adherence to quality standards, and sometimes familiarity with specialized annotation tools.

What are the key skills and qualifications needed to thrive as a Contract Data Annotation Specialist, and why are they important?

To thrive as a Contract Data Annotation Specialist, you need a keen eye for detail, strong analytical skills, and familiarity with data labeling standards, often supported by experience in data management or related fields. Proficiency with annotation platforms (such as Labelbox, Prodigy, or CVAT) and basic knowledge of data formats like JSON or XML are commonly required. Excellent communication, time management, and the ability to work independently help individuals excel in this often remote and deadline-driven role. These skills ensure high-quality, accurate data annotations that are vital for training reliable machine learning models.

What are some common challenges faced by contract data annotation professionals, and how can they be effectively managed?

Contract data annotation professionals often encounter challenges such as maintaining consistency in labeling, managing tight project deadlines, and ensuring data privacy. These challenges can be effectively managed by following detailed annotation guidelines, utilizing collaborative tools for team communication, and participating in regular quality assurance checks. Staying organized and proactive about seeking clarification from project leads also helps ensure high-quality, accurate results and a smooth workflow.
More about Contract Data Annotation jobs
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What are the most commonly searched types of Data Annotation jobs? The most popular types of Data Annotation jobs are:
What states have the most Contract Data Annotation jobs? States with the most job openings for Contract Data Annotation jobs include:
What job categories do people searching Contract Data Annotation jobs look for? The top searched job categories for Contract Data Annotation jobs are:
Contract Data Annotation jobs near you
Infographic showing various Contract Data Annotation job openings in the United States as of June 2026, with employment types broken down into 68% Full Time, 26% Part Time, and 6% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Data Science Specialist - Fully Remote

Mercor

San Francisco, CA • Remote

$70 - $100/hr

Full-time

Posted 9 days ago

Job description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: Data Science Experts
Type: Contract
Compensation: $70–$100/hour
Location: Remote
Commitment: 40 hours/week

Role Responsibilities

  • Guide research and engineering teams on data science methodology, statistical inference, and modeling best practices.
  • Design challenging data science tasks and write accurate, well-structured analytical solutions.
  • Evaluate data science tasks and solutions produced by AI systems and other experts; provide clear written technical feedback to improve correctness and rigor.
  • Develop guidelines and evaluation frameworks to assess the quality of statistical reasoning, ML pipeline design, and data analysis approaches.
  • Collaborate with other subject matter experts to ensure consistency and accuracy in training data.

Qualifications

Must-Have

  • 3+ years of professional or research experience in data science, data analysis, statistical modeling, or applied machine learning.
  • Ability to commit to 40 hours per week during weekdays for the duration of the engagement.
  • Strong written communication skills and the ability to explain analytical decisions and modeling choices clearly.

Preferred

  • Prior experience with data annotation, labeling, evaluation, or human feedback collection.
  • Experience with LLMs, AI systems, or agentic workflows; familiarity with agentic frameworks.

Compensation & Legal

  • W-2 employment with Cincinnatus LLC.

Application Process (Takes 20–30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

  • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.