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Annotation Analyst Jobs in Maryland (NOW HIRING)

Linguist

California, MD · On-site

$35 - $40/hr

... analysis, language technologies, and LLM/AI data operations and a proven ability to support data collection, synthetic data generation, annotation, and evaluation for LLM training, alignment, and AI ...

Skilled at teaching close reading, annotation, and analytical response construction for complex high school texts. Guides students through interpreting poetry and prose, evaluating rhetorical ...

Skilled at teaching close reading, annotation, and analytical response construction for complex high school texts. Guides students through interpreting poetry and prose, evaluating rhetorical ...

Support NCI CBIIT labs in their analysis workflows including bulk RNA-seq (QC, DEG, GSEA), single-cell RNA-seq (clustering, UMAP/t-SNE, cell type annotation, DEG), and Digital Spatial Profiling ...

Support NCI CBIIT labs in their analysis workflows including bulk RNA-seq (QC, DEG, GSEA), single-cell RNA-seq (clustering, UMAP/t-SNE, cell type annotation, DEG), and Digital Spatial Profiling ...

Support NCI CBIIT labs in their analysis workflows including bulk RNA-seq (QC, DEG, GSEA), single-cell RNA-seq (clustering, UMAP/t-SNE, cell type annotation, DEG), and Digital Spatial Profiling ...

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Showing results 1-20

Annotation Analyst information

See Maryland salary details

$30.1K

$71.1K

$126.2K

How much do annotation analyst jobs pay per year?

As of Jul 28, 2026, the average yearly pay for annotation analyst in Maryland is $71,103.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,000.00 and $84,400.00 per year, depending on experience, location, and employer.

What are the typical day-to-day responsibilities of an Annotation Analyst?

As an Annotation Analyst, your daily responsibilities generally include reviewing and labeling large volumes of data—such as images, text, or audio—according to predefined guidelines or project requirements. You may also participate in quality control processes, address edge cases or ambiguities in the data, and collaborate with project managers, data scientists, or other analysts to ensure consistency and accuracy. Additionally, you might provide feedback on annotation tools or contribute to refining categorization criteria. The role often involves both independent work and teamwork within a fast-paced, detail-oriented environment, where precision is essential for supporting training and evaluation of AI or machine learning models.

Is an annotation analyst a good job?

An annotation analyst is a role that involves labeling data to train machine learning models, often requiring attention to detail and familiarity with annotation tools. The job can offer flexible schedules and remote work options but may involve repetitive tasks and lower pay compared to other tech roles. Its suitability depends on individual preferences for data work and career goals.

What does an annotation analyst do?

An annotation analyst is responsible for labeling and categorizing data, such as images, text, or videos, to help train machine learning models. They use specialized tools and follow guidelines to ensure data accuracy and consistency, often working in a team environment with quality control measures.

Does data annotation actually pay well?

Data annotation analysts typically earn hourly wages that are close to minimum wage or slightly above, depending on the company and location. While some positions offer flexible schedules and remote work, the pay generally remains modest compared to other tech roles, and advanced skills or certifications can lead to higher compensation.

What are the key skills and qualifications needed to thrive in the Annotation Analyst position, and why are they important?

To thrive as an Annotation Analyst, you need exceptional attention to detail, analytical thinking, and proficiency in data labeling or linguistic annotation, often supported by a relevant degree such as linguistics or computer science. Familiarity with annotation tools and platforms (like Labelbox, Prodigy, or proprietary systems) and knowledge of data privacy standards are highly beneficial. Strong communication, collaboration, and time management skills help in working efficiently with multidisciplinary teams and meeting project deadlines. These qualities are crucial for producing high-quality, accurate datasets that directly impact the success of machine learning and AI initiatives.

What is an Annotation Analyst job?

An Annotation Analyst is responsible for labeling and categorizing data, such as text, images, audio, or video, to help improve machine learning models and AI systems. They follow specific guidelines to ensure accuracy and consistency in annotations. This role often involves reviewing, analyzing, and correcting data to enhance AI algorithms' performance. Annotation Analysts typically work with teams developing natural language processing (NLP), computer vision, or speech recognition technologies. Strong attention to detail and familiarity with industry tools are key skills for success in this role.

What qualifications do you need to be a data annotator?

To be a data annotator, typically a high school diploma or equivalent is required, along with strong attention to detail and basic computer skills. Familiarity with annotation tools and the ability to follow guidelines accurately are also important for success in this role.
What are popular job titles related to Annotation Analyst jobs in Maryland? For Annotation Analyst jobs in Maryland, the most frequently searched job titles are:
What job categories do people searching Annotation Analyst jobs in Maryland look for? The top searched job categories for Annotation Analyst jobs in Maryland are:
Infographic showing various Annotation Analyst job openings in Maryland as of July 2026, with employment types broken down into 86% Full Time, 9% Part Time, 1% Temporary, and 4% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $71,103 per year, or $34.2 per hour.
Genomic Data Curator / Molecular Biologist - Sequence Analysis & Workflows

Genomic Data Curator / Molecular Biologist - Sequence Analysis & Workflows

Computercraft Corporation

Bethesda, MD • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 days ago


Job description

Do you enjoy applying your expertise in molecular biology to solve complex biological questions while improving the systems that manage scientificdata?
Computercraft is seeking Genomic Data Curators/ Molecular Biologists to support the National Center for Biotechnology Information (NCBI), part of the National Library of Medicine at the National Institutes of Health in Bethesda, Maryland.
In this multi-disciplinary role, you will apply your expertise in molecular biology and sequence analysis to ensure the quality and integrity of GenBank.  You will also help improve the tools, workflows, and scientific standards that support the submission, validation, management and dissemination of biological sequence data. You will combine detailed scientific analysis with strategic, systems-level thinking, working closely with biologists, bioinformaticians, software developers, and data engineers to improve how sequence data are managed and shared.
Computercraft has provided scientific expertise supporting GenBank continuously since 1991. Learn more at https://www.ncbi.nlm.nih.gov/genbank/.
Job Responsibilities

  • Review nucleotide sequence and annotation data submitted by individual laboratories and large-scale sequencing projects.
  • Evaluate submissions for biological integrity, consistency, accuracy, completeness, and compliance with GenBank standards
  • Perform database curation and administrative activities related to the maintenance of GenBank and associated NCBI resources.
  • Communicate directly with scientists and data submitters to resolve complex sequence and annotation quality issues.
  • Evaluate data within the broader context of workflow dependencies, and the complete sequence data lifecycle.
  •   Contribute biological expertise to the development, testing, and refinement of automated data-processing pipelines and validation systems to improve efficiency, scalability, and scientific data quality.
  •   Help improve data standards, validation procedures, submission processes, and lifecycle-management practices across GenBank and related NCBI resources.
  •   Apply both detailed analytical review and strategic, systems-level thinking to continuously improve the quality, consistency, and management of biological sequence data.
Required Skills/Experience
  • Ph.D. in molecular biology, genetics, genomics, microbiology, biochemistry, or a related scientific discipline preferred. Candidates with a Master's degree and substantial relevant experience may also be considered.
  • Extensive experience in DNA sequence analysis, biological data analysis, and/or laboratory molecular biology.
  • Experience analyzing large or complex biological datasets.
  • Strong understanding of data quality, validation, and scientific review.
  • Excellent scientific, written, and verbal communication skills.
  • Demonstrates attention to detail  while maintaining the ability  to think strategically about scientific data systems and workflows..
  • Ability to evaluate scientific data in the context of database structures, workflows, and life-cycle management.
  • Ability to work independently while contributing effectively within a multidisciplinary team.
  • Ability to work on the NIH campus in Bethesda, Maryland, at least 3 days per week.
  • Ability to obtain Public Trust clearance
Desired Skills/Experience
  • Experience with biological databases, sequence curation, genomic annotation, or large-scale data-management workflows.
  • Experience designing, improving, validating, or testing automated scientific workflows or data-processing pipelines.
  • Familiarity with DNA sequencing technologies, genome-assembly methods, and sequence-analysis tools.
  • Experience collaborating with bioinformaticians, software developers, or data engineers.
  • Interest in evolving technologies, including automated and AI-assisted workflows.
Who May Be a Good FitThis position may be especially attractive to Ph.D.-trained scientists or postdoctoral researchers who  enjoy applying their biological expertise beyond the laboratory. The strongest candidates will be comfortable moving between detailed sequence review and broader questions about how scientific data are validated, processed, managed, and disseminated. They are comfortable collaborating with multidisciplinary teams to improve the tools and processes that support biological data management while ensuring the highest standards of scientific quality.
Computercraft is recruiting for multiple GenBank curation opportunities. Candidates should apply to the position that most closely matches their experience and interests. Qualified applicants may also be considered for other GenBank openings.Compensation and Benefits

The anticipated salary range for this position is $90,000–$120,000 annually.

Computercraft offers an excellent benefits package that includes health, dental, vision, and disability and life insurance; a 401(k) plan with matching; paid leave starting at 128 hours/year for the first 3 years of employment; and 11 paid holidays. We also offer the opportunity for a positive work–life balance with a standard 40-hour work week and the chance to work alongside a team of highly accomplished professionals.

To learn about other Computercraft job opportunities, please visit the Careers section of our website: https://www.computercraft-usa.com/.

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