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Contract Data Annotation Jobs (NOW HIRING)

YO AI Labs

Chemistry Expert - Remote

Seattle, WA · Remote

$75 - $100/hr

Contract Location: Remote Scope of Work: * Produce authoritative, accurate, and well-explained ... Experience with AI, data annotation, or digital content development projects is advantageous but ...

New

YO AI Labs

Chemistry Expert - Remote

Los Angeles, CA · Remote

$75 - $100/hr

Contract Location: Remote Scope of Work: * Produce authoritative, accurate, and well-explained ... Experience with AI, data annotation, or digital content development projects is advantageous but ...

New

YO AI Labs

Chemistry Expert - Remote

Austin, TX · Remote

$75 - $100/hr

Contract Location: Remote Scope of Work: * Produce authoritative, accurate, and well-explained ... Experience with AI, data annotation, or digital content development projects is advantageous but ...

New

YO AI Labs

Chemistry Expert - Remote

Chicago, IL · Remote

$75 - $100/hr

Contract Location: Remote Scope of Work: * Produce authoritative, accurate, and well-explained ... Experience with AI, data annotation, or digital content development projects is advantageous but ...

New

YO AI Labs

Chemistry Expert - Remote

Philadelphia, PA · Remote

$75 - $100/hr

Contract Location: Remote Scope of Work: * Produce authoritative, accurate, and well-explained ... Experience with AI, data annotation, or digital content development projects is advantageous but ...

New

YO AI Labs

Chemistry Expert - Remote

Boston, MA · Remote

$75 - $100/hr

Contract Location: Remote Scope of Work: * Produce authoritative, accurate, and well-explained ... Experience with AI, data annotation, or digital content development projects is advantageous but ...

New

YO AI Labs

Chemistry Expert - Remote

Phoenix, NY · Remote

$75 - $100/hr

Contract Location: Remote Scope of Work: * Produce authoritative, accurate, and well-explained ... Experience with AI, data annotation, or digital content development projects is advantageous but ...

New

Weekday AI

Data Science Expert

$120 - $170/hr

Experience contributing to AI evaluation, model training, human feedback, or data annotation ... Contract Details * Independent contractor engagement. * Fully remote with flexible working hours.

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Contract Data Annotation information

What is a contract data annotation?

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?

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.

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.

Is data annotation still hiring?

Data annotation roles are currently in demand as companies continue to develop AI and machine learning models. Many positions are available for remote work, often requiring basic computer skills and attention to detail, with some roles offering flexible schedules. Job availability can vary by industry and region, so checking specific job boards is recommended.

Is it hard to get hired for contract data annotation?

Contract data annotation jobs are generally accessible to individuals with basic computer skills and attention to detail. The hiring process often involves completing a skills test or sample annotation task, and some roles may require familiarity with specific tools or platforms. Competition can vary depending on the demand and the company's requirements, but many positions are available for entry-level candidates.
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Contract Data Annotation jobs near you
Infographic showing various Contract Data Annotation job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 12% Part Time, and 2% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution.

Chemistry Expert - Remote

Seattle, WA • Remote

YO AI Labs
See more jobs at YO AI Labsexternal

$75 - $100/hr

Full-time

Posted 2 days ago

New

Job description

Job Description

Role Title: Chemistry Expert

Role Type: Contract

Location: Remote


Scope of Work:

  • Produce authoritative, accurate, and well-explained responses to advanced chemistry queries aimed at AI model improvement, emphasizing clarity and depth rather than rubric-based scoring.
  • Review and evaluate chemistry data, questions, and solutions to guarantee scientific accuracy, completeness, and current best-practice alignment.
  • Develop comprehensive explanations and justifications across a wide array of chemical concepts, spanning foundational and specialized areas of chemistry.
  • Collaborate with annotation leads and project managers to refine requirements and uphold high standards for response quality.
  • Create exemplary golden responses that set benchmarks for future model outputs, ensuring consistency and reliability in training data.
  • Document context and rationale behind answers to assist model interpretability and future annotation efforts.
  • Participate in remote discussions or workshops to clarify objectives and maintain alignment across the contributor community.

Preferred Qualifications:

  • PhD in Chemistry or a closely related scientific field with robust expertise in both foundational and advanced topics.
  • Proven ability to communicate intricate chemistry concepts with precision in both written and verbal forms.
  • Experience in developing, reviewing, or publishing scientific, technical, or educational chemistry materials (such as research articles, curricula, industry reports, or peer reviews).
  • Familiarity with multiple sub-disciplines within chemistry (organic, inorganic, physical, analytical, materials science, etc.) and the ability to adapt explanations for diverse audiences.
  • Exceptional attention to detail with a commitment to scientific accuracy and methodological rigor.
  • Experience with AI, data annotation, or digital content development projects is advantageous but not essential.
  • Strong collaboration skills, particularly in remote or cross-functional environments.