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Day Data Annotation Jobs in Reston, VA (NOW HIRING)

BAE Systems

Imagery Anst Sr

Falls Church, VA · On-site

Experience with Machine Learning training data creation, annotation, and review as well as ... This position will be posted for at least 5 calendar days. The posting will remain active until the ...

BAE Systems

Imagery Anst Sr

Falls Church, VA · On-site

This position will be posted for at least 5 calendar days. The posting will remain active until the ... Experience with AI/ML training data creation, annotation, validation, review, or Structured ...

BAE Systems

Imagery Anst Sr

Falls Church, VA · On-site

This position will be posted for at least 5 calendar days. The posting will remain active until the ... Experience with AI/ML training data creation, annotation, validation, review, or Structured ...

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Showing results 21-40

All JobsDay Data Annotation JobsDay Data Annotation Jobs in Reston, VA

Day Data Annotation information

What is a day data annotation job?

Day Data Annotation jobs involve reviewing and tagging data, such as images, text, audio, or video, during regular daytime hours. Annotators help prepare datasets for machine learning and artificial intelligence by labeling or categorizing information according to specific guidelines. This work is essential for training algorithms to recognize patterns, objects, or language. Day Data Annotation can be done remotely or in-office, and it often requires attention to detail and good communication skills.

What are the key skills and qualifications needed to thrive as a day data annotation specialist?

To excel as a Day Data Annotation Specialist, you need strong attention to detail, data entry accuracy, and a solid understanding of the subject matter being annotated, often supported by a high school diploma or relevant experience. Familiarity with annotation tools, spreadsheets, and data management software is typically required. Excellent concentration, time management, and clear communication skills help professionals stand out in this role. These abilities are crucial to ensure high-quality, consistent data labeling that directly impacts the performance of machine learning models and downstream business applications.

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

Day Data Annotation specialists often encounter challenges such as maintaining high accuracy while handling repetitive tasks, interpreting ambiguous data, and meeting tight deadlines. To address these, it's important to develop strong attention to detail, use project guidelines as references, and communicate with team leads or peers when uncertainties arise. Many organizations also provide regular feedback and quality assurance checks, which help annotators improve their performance and consistency over time.

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

AspectDay Data AnnotationData Labeler
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote or on-site, collaborative teamsRemote or on-site, independent work
Industry UsageAI/ML companies, tech firmsAI/ML, data processing companies
Job FocusAnnotating data for machine learning modelsLabeling data to train AI systems

Day Data Annotation and Data Labeler roles are similar, focusing on preparing data for AI. Day Data Annotation often involves more detailed annotation tasks, while Data Labelers may perform broader labeling activities. Both roles require basic technical skills and are vital in AI development across tech industries.

Can I do data annotation with no experience?

Day data annotation jobs often do not require prior experience, as training is typically provided to teach you how to label data accurately. Basic computer skills and attention to detail are usually sufficient to start, and some roles may require familiarity with annotation tools or platforms. Entry-level positions are common and can serve as a stepping stone to more advanced data-related roles.

What are the most commonly searched types of Data Annotation jobs in Reston, VA?

The most popular types of Data Annotation jobs in Reston, VA are:

What cities near Reston, VA are hiring for Day Data Annotation jobs?

Cities near Reston, VA with the most Day Data Annotation job openings:

Day Data Annotation jobs near you

Genomic Data Curator / Molecular Biologist - Sequence Analysis & Workflows

Bethesda, MD • On-site

Computercraft Corporation
51 - 200 employees
Learn more about Computercraft Corporationexternal

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 25 days ago

Key responsibilities

  • Review nucleotide sequence and annotation data submitted by laboratories and sequencing projects.

  • Evaluate submissions for biological integrity, consistency, accuracy, completeness, and compliance with GenBank standards.

  • Contribute to the development, testing, and refinement of automated data-processing pipelines and validation systems to improve data quality and efficiency.

Job description

Do you enjoy applying your expertise in molecular biology to solve complex biological questions while improving the systems that manage scientific data?
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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