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Contractual Remote Data Annotation Jobs in Washington

Senior Data Analyst

Washington, DC · Remote

$135K - $150K/yr

Remote Job Type: Full-Time | Exempt Salary: $135,000 - $150,000 / Year Benefits: This position is ... contractual modeling. This role reports directly to the Chief Information Officer. * Supports the ...

Senior Data Analyst

Washington, DC · Remote

$135K - $150K/yr

Remote Job Type: Full-Time | Exempt Salary: $135,000 - $150,000 / Year Benefits: This position is ... contractual modeling. This role reports directly to the Chief Information Officer. * Supports the ...

Program/Data Analyst Advisor

Washington, DC · On-site +1

$124K - $143K/yr

Rather, salary will be set based on experience, geographic location and possibly contractual ... Remote Work Location: USA DC Washington Additional Work Locations: Any Location / Remote Total ...

Rather, salary will be set based on experience, geographic location and possibly contractual ... Remote Work Location: USA VA Falls Church Additional Work Locations: Total Rewards at GDIT: Our ...

Contracts Manager (Remote)

Reston, VA · Remote

$92K - $123K/yr

At ICF, business analysts and policy specialists collaborate with digital strategists, data ... Identify contractual and/or RFP terms which may pose risk to the company and provide ...

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Contractual Remote Data Annotation information

What is contractual remote data annotation?

Contractual remote data annotation involves labeling or tagging data—such as images, text, or audio—while working from a remote location, usually as a contractor rather than a full-time employee. Data annotation is a crucial step in preparing datasets for machine learning and artificial intelligence models, as it helps algorithms learn to recognize patterns and make predictions. Contractors are typically assigned specific tasks or projects and are paid based on the volume or quality of their completed annotations. This type of work requires attention to detail, reliability, and sometimes domain-specific knowledge, depending on the project.

What is the difference between Contractual Remote Data Annotation vs Data Labeler?

AspectContractual Remote Data AnnotationData Labeler
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote, flexible hoursRemote or on-site, flexible or fixed hours
Industry UsageAI, machine learning, tech companiesAI, machine learning, tech companies
Job ScopeAnnotating data for training AI modelsLabeling data to train AI systems

Contractual Remote Data Annotation involves completing data annotation tasks on a contractual basis, often with flexible hours and remote work. Data Labelers perform similar tasks but may work on a freelance or part-time basis, sometimes in different environments. Both roles support AI development, but Contractual Remote Data Annotation typically emphasizes contractual agreements and remote flexibility.

What are the key skills and qualifications needed to thrive as a Contractual Remote Data Annotation Specialist, and why are they important?

To thrive as a Contractual Remote Data Annotation Specialist, you need strong attention to detail, familiarity with data labeling concepts, and often a basic understanding of machine learning or AI workflows. Proficiency with annotation platforms like Labelbox, Supervisely, or Amazon SageMaker Ground Truth, as well as experience with common data types such as images, text, or audio, is typically required. Reliability, time management, and clear communication are essential soft skills for meeting deadlines and maintaining quality in remote, independent work. These skills and qualifications ensure accuracy and efficiency, which are critical for producing high-quality datasets that power AI and machine learning models.

What are some common challenges faced by contractual remote data annotators, and how can they be addressed?

Contractual remote data annotators often face challenges such as repetitive tasks, maintaining accuracy over long periods, and managing communication with distributed teams. To address these, it's important to establish a structured workflow, take regular breaks to prevent fatigue, and use quality control tools provided by employers. Staying proactive in seeking clarification on annotation guidelines and participating in team discussions can also help ensure consistent results and foster a supportive remote work environment.
What are the most commonly searched types of Remote Data Annotation jobs in Washington? The most popular types of Remote Data Annotation jobs in Washington are:
What are popular job titles related to Contractual Remote Data Annotation jobs in Washington? For Contractual Remote Data Annotation jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Contractual Remote Data Annotation jobs in Washington look for? The top searched job categories for Contractual Remote Data Annotation jobs in Washington are:
What cities in Washington are hiring for Contractual Remote Data Annotation jobs? Cities in Washington with the most Contractual Remote Data Annotation job openings:
Infographic showing various Contractual Remote Data Annotation job openings in Washington as of June 2026, with employment types broken down into 1% As Needed, 92% Full Time, 1% Part Time, and 6% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

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

Black Canyon Consulting

Bethesda, MD • On-site

$58.25 - $77/hr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 13 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