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Data Annotation Biology Jobs (NOW HIRING)

Subject Matter Expert

New York, NY · Remote

$70 - $100/hr

PhD (completed, enrolled, or equivalent research track) in Physics , Chemistry , Biology ... Prior experience with data annotation, labeling, evaluation, or human feedback collection.

PhD (completed, enrolled, or equivalent research track) in Physics , Chemistry , Biology ... Prior experience with data annotation, labeling, evaluation, or human feedback collection.

... with structured data annotation and rubric-based scoring • Prior work in trust and safety ... biology, medicine, law, finance, etc.) Company : Handshake is a college career network that helps ...

... annotation, DEG), and Digital Spatial Profiling (annotation, QC, normalization, spatial ... Bachelor's degree in Data Science, Bioinformatics, Computer Science, Biological Sciences, or a ...

... annotation, DEG), and Digital Spatial Profiling (annotation, QC, normalization, spatial ... Bachelor's degree in Data Science, Bioinformatics, Computer Science, Biological Sciences, or a ...

... annotation, DEG), and Digital Spatial Profiling (annotation, QC, normalization, spatial ... Bachelor's degree in Data Science, Bioinformatics, Computer Science, Biological Sciences, or a ...

... annotation of language data with parts of speech information, and improve existing models by ... physics, chemistry, biology, astronomy), or other science disciplines with a substantial ...

Data Scientist 3

Annapolis Junction, MD · On-site

$132K - $147K/yr

... annotation of language data with parts of speech information, and improve existing models by ... physics, chemistry, biology, astronomy), or other science disciplines with a substantial ...

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Data Annotation Biology information

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$37.5K

$122.7K

$196.5K

How much do data annotation biology jobs pay per year?

As of Jul 14, 2026, the average yearly pay for data annotation biology in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What is the difference between Data Annotation Biology vs Data Labeling Specialist?

AspectData Annotation BiologyData Labeling Specialist
Required CredentialsBiology degree or related certificationHigh school diploma or equivalent, training in labeling tools
Work EnvironmentLaboratory, research settings, or remoteOffice, remote, or data centers
Industry UsageBiotech, healthcare, researchTech, AI, machine learning
Job FocusAnnotating biological data, images, and sequencesLabeling various data types for AI models

Data Annotation Biology involves annotating biological data, often requiring a background in biology, while Data Labeling Specialists focus on labeling diverse data types for AI applications, with less emphasis on biological expertise. Both roles are essential in data preparation but serve different industry needs.

Is it hard to get hired for data annotation?

Getting hired for a data annotation biology role can be straightforward if you have basic attention to detail and familiarity with biological concepts. Many positions require minimal formal education and focus on accuracy and consistency, often with training provided. Competition varies depending on the company and location, but entry-level roles are generally accessible to those with relevant skills.

Does data annotation actually pay you?

Data annotation jobs, including roles in biology, typically pay hourly or per task rates, with compensation varying by company and experience level. Many companies offer remote work with flexible schedules, and some require basic knowledge of biological concepts or annotation tools. Payment is usually processed through standard methods like direct deposit or PayPal.

What is data annotation in biology?

Data annotation in biology involves labeling or tagging biological data—such as images, gene sequences, or medical records—with relevant information to make it useful for research and machine learning. Annotators may identify specific features, mark regions of interest, or classify data according to biological characteristics. This work is crucial for training artificial intelligence systems to recognize patterns, make predictions, and automate analyses in biological research. Annotated datasets help improve the accuracy and reliability of computational models in genomics, microscopy, drug discovery, and more.

What jobs are available in data annotation?

Jobs in data annotation include roles such as data annotator, labeler, or tagger, where individuals review and label data like images, videos, or text to train machine learning models. These positions often require attention to detail, familiarity with annotation tools, and may involve remote work or flexible schedules.

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

To thrive as a Data Annotation Biology specialist, you need a solid background in biological sciences, attention to detail, and experience handling scientific datasets, often supported by a degree in biology or a related field. Familiarity with annotation tools, bioinformatics databases, and software such as BLAST or Ensembl is typically required, alongside knowledge of data management systems. Strong analytical thinking, precision, and good communication skills help you interpret complex biological data and collaborate effectively with researchers. These skills ensure the accuracy and utility of annotated datasets, which are critical for advancing biological research and data-driven discoveries.

What biology jobs pay over $100k?

In biology-related roles, positions such as biomedical scientists, pharmacologists, and research directors often have salaries exceeding $100,000, especially with advanced degrees and experience. Jobs in biotech companies, pharmaceutical firms, and research institutions tend to offer higher compensation, particularly for those with specialized skills, certifications, or leadership responsibilities.

What are some of the unique challenges faced by data annotators working with biological datasets, and how can they be addressed?

Data annotators in biology often encounter challenges such as dealing with complex, high-dimensional data (like gene sequences or microscopy images) and the need for a deep understanding of biological terminology and context. Errors in annotation can significantly impact downstream research or machine learning models, so maintaining accuracy is crucial. Collaborating closely with biologists and domain experts helps ensure consistency and correctness, while ongoing training and clear annotation guidelines help address ambiguities. Staying up-to-date with evolving biological standards and tools is also essential for success in this role.
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What states have the most Data Annotation Biology jobs? States with the most job openings for Data Annotation Biology jobs include:
Research And Development Scientist

Research And Development Scientist

Mercor

New York, NY • Remote

$70 - $100/hr

Full-time

This job post has expired today. Applications are no longer accepted.


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: Expert Professionals — STEM Research
Type: Contract
Compensation: $70–$100/hour
Location: Remote
Commitment: 40 hours/week

Role Responsibilities

  • Guide research teams to close knowledge gaps in STEM domains by surfacing edge cases, ambiguities, and frontier problems where current models underperform.
  • Design challenging, rigorous domain tasks and write accurate, well-reasoned solutions that demonstrate expert-level scientific and technical reasoning.
  • Evaluate tasks and solutions produced by AI agents and other contributors, providing clear written technical feedback grounded in domain expertise.
  • Develop evaluation frameworks and rubrics for assessing scientific reasoning quality across STEM domains.
  • Collaborate with other subject matter experts to ensure consistency and accuracy in training data.

Qualifications

Must-Have

  • PhD (completed, enrolled, or equivalent research track) in Physics, Chemistry, Biology, Mathematics, Statistics, Computer Science, Electrical Engineering, Mechanical Engineering, Civil Engineering, Materials Science, or another STEM discipline.
  • 3+ years of research, academic, or industry experience in their primary STEM domain.
  • Demonstrated technical expertise in at least one domain: computational modeling, laboratory methods, data analysis, statistical inference, programming, or equivalent scientific methods.
  • Ability to commit to 40 hours per week during weekdays for the duration of the engagement.
  • Strong written communication skills; ability to explain complex scientific or technical concepts clearly in writing.

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.