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How much do chemical data annotation specialist jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for chemical data annotation specialist in the United States is $20.24, according to ZipRecruiter salary data. Most workers in this role earn between $16.35 and $21.88 per hour, depending on experience, location, and employer.

What does a chemical data annotation specialist do?

A Chemical Data Annotation Specialist is responsible for labeling, categorizing, and curating chemical data to ensure its accuracy and usability in scientific research and machine learning applications. They work with chemical structures, reaction data, and related metadata, often using specialized software tools to annotate datasets according to predefined guidelines. Their work enables more effective data-driven research in fields like drug discovery, materials science, and cheminformatics by ensuring datasets are reliable and easy to interpret.

What are the key skills and qualifications needed to thrive as a chemical data annotation specialist, and why are they important?

To thrive as a Chemical Data Annotation Specialist, you need a solid background in chemistry, data analysis, and attention to detail, often supported by a degree in chemistry or a related scientific field. Familiarity with cheminformatics tools, chemical databases, and annotation platforms like ChemAxon, PubChem, or KNIME is typically required. Strong analytical thinking, meticulousness, and effective communication help ensure accuracy and clarity in data processing and collaboration. These skills are essential for producing high-quality, reliable chemical datasets that support research, machine learning, and scientific discovery.

What are some common challenges faced by chemical data annotation specialists, and how can they be addressed?

Chemical Data Annotation Specialists often encounter challenges such as interpreting complex chemical structures, ensuring data consistency, and handling ambiguous or incomplete information. Staying updated with the latest chemical nomenclature standards and using specialized annotation tools can help address these challenges. Collaborating closely with chemists, data scientists, and quality assurance teams is also essential to resolve uncertainties and maintain high data integrity. Regular training and participation in peer reviews further support accuracy and efficiency in this role.

What is the difference between Chemical Data Annotation Specialist vs Chemical Data Scientist?

AspectChemical Data Annotation SpecialistChemical Data Scientist
Required CredentialsTypically a degree in chemistry, bioinformatics, or related field; familiarity with data annotation toolsDegree in chemistry, data science, or related; strong statistical and programming skills
Work EnvironmentLaboratory or data annotation teams within biotech or pharmaceutical companiesResearch labs, data analysis teams, or R&D departments in similar industries
Employer & Industry UsageUsed in pharmaceutical, biotech, and chemical industries for data labelingApplied in research, drug discovery, and data analysis projects in similar sectors

The Chemical Data Annotation Specialist focuses on labeling chemical data accurately for machine learning models, while the Chemical Data Scientist analyzes and interprets chemical data to derive insights. Both roles require chemistry knowledge but differ in their primary functions and skill sets.

More about Chemical Data Annotation Specialist jobs

What states have the most Chemical Data Annotation Specialist jobs?

States with the most job openings for Chemical Data Annotation Specialist jobs include:

What job categories do people searching Chemical Data Annotation Specialist jobs look for?

The top searched job categories for Chemical Data Annotation Specialist jobs are:

Chemical Data Annotation Specialist jobs near you
Infographic showing various Chemical Data Annotation Specialist job openings in the United States as of August 2026, with employment types broken down into 49% Full Time, 13% Part Time, and 38% Contract. Highlights an 62% In-person, and 38% Remote job distribution, with an average salary of $42,098 per year, or $20.2 per hour.

AI Training Specialist (Data Annotation)

Remote Talent Cloud

Dallas, TX • On-site, Remote

$20/hr

Contractor

Re-posted 7 days ago

Job description

As an AI Training Specialist (Data Annotation), you'll play a key role in helping train and improve artificial intelligence (AI) systems. Your work will directly support how AI models learn to recognize text, images, and other data accurately.
Your main responsibilities will include:
  • Labeling and categorizing data (such as text, images, or short videos) according to detailed project guidelines
  • Reviewing and verifying data for accuracy, consistency, and completeness
  • Identifying and flagging any errors, inconsistencies, or unclear data
  • Following clear annotation instructions to ensure high-quality results
  • Meeting productivity and accuracy goals within project timelines
  • Maintaining confidentiality and adhering to all data security standards

Requirements
We're looking for detail-oriented individuals who are comfortable working independently and enjoy structured, accuracy-focused tasks. The ideal candidate will have:
  • This is a fully remote position, but you must be located within the United States
  • Excellent attention to detail and strong organizational skills
  • A reliable Internet connection and computer
  • The ability to focus for extended periods and follow detailed written instructions
  • Strong written communication skills in English
  • Previous data annotation, labeling, or transcription experience is a plus, but not required

Benefits
  • Fully remote: work from anywhere within the United States
  • Full-time and part-time available
  • Competitive hourly pay from $20/hr
  • Training provided for all annotation tools and workflows
  • Gain hands-on experience supporting real-world AI training projects
  • Be part of a growing remote team working on cutting-edge technology

Apply