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What is a Remote Data Annotation job?

A Remote Data Annotation job involves labeling, tagging, or categorizing data (such as images, text, audio, or video) to help improve machine learning models. This work is typically done from home using specialized annotation tools provided by employers. Accuracy and attention to detail are essential, as the quality of annotations directly impacts AI model performance. Many companies hire remote annotators on a freelance, part-time, or contractual basis.

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

To thrive as a Remote Data Annotation specialist, strong attention to detail, accuracy, and familiarity with basic data processing concepts are essential, often requiring a high school diploma or equivalent. Experience using data labeling platforms, annotation tools (such as Labelbox or Supervisely), and sometimes familiarity with spreadsheet software may be required. Excellent time management, communication skills, and the ability to work independently are valuable soft skills in this remote role. These skills are vital to ensure that data annotations are consistent, precise, and delivered on schedule, which directly impacts the quality of AI and machine learning outcomes.

What are the typical daily tasks for someone working in Remote Data Annotation?

Daily tasks for a Remote Data Annotation role usually involve reviewing and labeling large volumes of data—such as images, audio clips, text, or video—according to specific project guidelines. You will use specialized annotation tools to identify objects, transcribe content, categorize information, or tag relevant features to support machine learning projects. Communication with project managers or quality assurance teams may be necessary for feedback and clarity on guidelines. Most roles also require regular self-checks for accuracy and the ability to meet productivity quotas or deadlines. This structure allows for a combination of focused individual work and occasional team collaboration to ensure project goals are met.
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Infographic showing various Remote Data Annotation job openings in Crofton, MD as of May 2026, with employment types broken down into 1% As Needed, 91% Full Time, 7% Part Time, and 1% Contract. Highlights an 60% Physical, 17% Hybrid, and 23% Remote job distribution.

Senior Software Developer (C++) in Bioinformatics and Big Data

Black Canyon Consulting

Bethesda, MD • On-site, Remote

$58.25 - $77/hr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 3 days ago

Job description

Overview

Black Canyon Consulting (BCC) is searching for a Sr. Software Developer in Bioinformatics and Big Data to support our work for the National Center for Biotechnology Information (NCBI) at the National Library of Medicine (NLM), an institute of the National Institutes of Health. This opportunity is full time and onsite at the NIH-NCBI in Bethesda, MD and/or remote work. 

NCBI, the National Center for Biotechnology Information, the nation's premier biomedical resource, is seeking a software developer to help deliver biological sequence annotation and data curation infrastructure for the nation's foremost sequence and biomedical literature repositories. Sites at NCBI, a part of the National Library of Medicine (NLM) at the National Institutes of Health (NIH), see four million daily users searching for gene sequence data, biomedical journal citations, and a wide array of other information that directly impacts biomedical research and public health. NCBI's annotation pipelines not only serve these diverse expert communities - they actually drive new life sciences discoveries, ranging from medical health (viruses and pandemics, genetic diseases, cancer) to public health (food safety monitoring, antimicrobial resistance, viral outbreaks), to basic research topics in computational biology, bioinformatics and microbial diversity, and many more.

On a technical level, NCBI's wide range of applications, platforms (e.g. node, Python, Django, C++), and applications and environments (petabyte-level big data, multiple cloud providers) serve more users than the US Postal Service and see more traffic than the IRS at tax time. We embrace FAIR principles (Findable, Accessible, Interoperable, Reusable) and are on the cutting edge of civic tech and cloud computing.

This role calls for more than an expert coder and architect - someone who can work equally effectively with subject-matter experts, user researchers, designers, product managers, scientists, security and DevOps engineers, and more. Work with teams of dedicated, skilled developers, researchers, and product professionals as you build robust, flexible solutions serving dozens of production applications, APIs and services. Join us!

We attract the best people in the business with our competitive benefits package that includes medical, dental and vision coverage, 401k plan with employer contribution, paid holidays, vacation, and tuition reimbursement. If you enjoy being a part of a high performing, professional service and technology focused organization, please apply today!

 Duties & Responsibilities:
  • Responsible for the development, implementation, testing, and continued maintenance of NCBI bioinformatics software and information retrieval systems
  • Work with a diverse group of scientists, bioinformaticians and other developers across the center to implement efficient bioinformatics algorithms
  • Learn new technologies, keep up with internal systems, and share your knowledge with the team
Required qualifications:
  • 5+ years of experience handling large amounts of data or working in a distributed computing environment
  • Programming experience in a Linux environment
  • Proficiency in C++
  • Experience with MS SQL server and relational database design and optimization
  • Fluency in some scripting languages such as BASH, csh, Perl, or Python
Preferred qualifications:
  • 5+ years of working with genetic and biological data
  • Proficiency in Python and/or JavaScript and familiarity with their associated ecosystems
  • Experience with MongoDB or other NoSQL database technology
  • Experience with Docker or other containerization mechanisms
  • Experience with CI/CD pipelines, unit testing, integration and regression testing
  • Experience using GitHub
  • Experience with Cloud technologies a strong plus

Apply