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Freelance Machine Learning Data Annotation Jobs in Clinton, MD

iNovex Information Systems

Data Scientist 3

Annapolis, MD · On-site

$161K - $211K/yr

... annotation of language data with parts of speech information, and improve existing models by ... Relevant experience must be in designing/implementing machine learning, data science, advanced ...

CoVar

Machine Learning Engineer

Mclean, VA · On-site

$83K - $111K/yr

Machine Learning Engineer Location: McLean, VA (hybrid); occasional travel to Durham, NC and ... Experience with data curation/annotation workflows and dataset quality control. * Software ...

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Freelance Machine Learning Data Annotation information

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$12

$21

$34

How much do freelance machine learning data annotation jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for freelance machine learning data annotation in Clinton, MD is $21.74, according to ZipRecruiter salary data. Most workers in this role earn between $17.21 and $24.86 per hour, depending on experience, location, and employer.

What is freelance machine learning data annotation?

Freelance machine learning data annotation involves labeling or tagging data—such as images, text, audio, or video—to help train machine learning models. As a freelancer, you work independently or through platforms, completing specific annotation tasks assigned by companies or researchers. This work is essential because high-quality labeled data is required for AI systems to learn and make accurate predictions. Annotators may categorize images, transcribe speech, or highlight relevant information in documents. The flexibility of freelancing allows you to choose projects and work remotely.

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

To thrive as a Freelance Machine Learning Data Annotation specialist, you need attention to detail, basic knowledge of data labeling concepts, and familiarity with machine learning data types. Experience with annotation tools (such as Labelbox, RectLabel, or CVAT) and understanding of data privacy protocols are commonly required. Strong communication, time management, and the ability to follow complex guidelines are essential soft skills for delivering accurate results. These skills ensure high-quality, consistent data annotation, which is critical for effective machine learning model training and performance.

What are some common challenges faced by freelance machine learning data annotators, and how can they be managed?

Freelance machine learning data annotators often encounter challenges such as maintaining data accuracy, handling repetitive tasks, and understanding complex annotation guidelines. Staying organized and regularly reviewing project instructions can help ensure consistency and quality in annotations. Additionally, communicating proactively with project managers and utilizing annotation tools efficiently can help manage workload and clarify uncertainties. Building expertise in different data types (text, image, audio) also allows annotators to diversify their projects and reduce monotony.

What is the difference between Freelance Machine Learning Data Annotation vs Data Labeler?

AspectFreelance Machine Learning Data AnnotationData Labeler
CredentialsBasic understanding of annotation tools, sometimes with specialized domain knowledgeTypically no formal credentials required
Work EnvironmentRemote, flexible, project-basedOften remote or in-house, depending on employer
Industry UsageUsed in AI/ML development for training datasetsUsed in data preparation for various industries, including AI
Search/Comparison IntentFocuses on freelance opportunities, project scope, and toolsMore general, often employed by companies for data labeling tasks

Freelance Machine Learning Data Annotation involves independently completing annotation tasks for AI models, often with specialized tools and domain knowledge. Data Labelers typically perform similar tasks but may work as employees or contractors within a company. The main difference lies in the freelance nature and project-based work of data annotation roles.

Can I work for freelance machine learning data annotation with no experience?

Freelance machine learning data annotation jobs often do not require prior experience, as many tasks involve simple labeling or categorization that can be learned quickly. Basic computer skills, attention to detail, and familiarity with annotation tools are helpful, and training is usually provided. However, building a portfolio or gaining some familiarity with data annotation platforms can improve job prospects.

What job categories do people searching Freelance Machine Learning Data Annotation jobs in Clinton, MD look for?

The top searched job categories for Freelance Machine Learning Data Annotation jobs in Clinton, MD are:

What cities near Clinton, MD are hiring for Freelance Machine Learning Data Annotation jobs?

Cities near Clinton, MD with the most Freelance Machine Learning Data Annotation job openings:

Freelance Machine Learning Data Annotation jobs near you

Data Scientist 3

Annapolis, MD • On-site

iNovex Information Systems
Professional, Scientific, and Technical Services • 51 - 200 employees
Learn more about iNovex Information Systemsexternal

$161K - $211K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 17 days ago

Job description

Job Brief
Python, Jupyter, NLP
Job Description
Are you VIGILANT about your career? RealmOne definitely is!
RealmOne was built on the principle that people matter first and foremost. We believe in providing a strong work/life balance by investing in our employees and encouraging professional and personal growth. We do this by offering exceptional benefits, flexible schedules, and the tools necessary to achieve success through paid training, mentoring, and the opportunity to work alongside top-notch industry professionals.
Join us on this journey as we execute this mission-critical contract providing high-end analytics and data science services within the REALM of cybersecurity.
Your effort and expertise are crucial to the success and execution of this impactful mission. This opportunity supports a team of Data Scientists, Cryptologic Computer Scientists, Cryptanalytic Computer Scientists, Cryptologic Cyber Planners, Intrusion Analysts, Protocol Analysts, Signals Analysts and Reverse Engineers, responsible for improving, protecting, and defending our Nation's Security.
Job Description:
  • We are seeking a Data Scientist proficient in Python and Jupyter Notebook to support a Natural Language Processing (NLP) project. You will help to accurately and automatically tokenize language data with spoken or written origins, develop automated solutions for the annotation of language data with parts of speech information, and improve existing models by scoring performance against human-generated annotations for speech and text.

The Level 3 Data Scientist shall possess the following capabilities:
  • Foundations: (Mathematical, Computational, Statistical).
  • Data Processing: (Data management and curation, data description and visualization, workflow and reproducibility).
  • Modeling, Inference, and Prediction: (Data modeling and assessment, domain-specific considerations).
  • Ability to make and communicate principal conclusions from data using elements of mathematics, statistics, computer science, and applications-specific knowledge.
  • Ability to use analytic modeling, statistical analysis, programming, and/or another appropriate scientific method, develop and implement qualitative and quantitative methods for characterizing, exploring, and assessing large datasets in various states of organization, cleanliness, and structure that account for the unique feature and limitations inherent in Government data holdings.
  • Translate practical mission needs and analytic questions related to large datasets into technical requirements and, conversely, assist others with drawing appropriate conclusions from the analysis of such data.
  • Effectively communicate complex technical information to non-technical audiences.

Qualifications:
  • Bachelor's Degree with 10 years of relevant experience, associate's degree with 12 years of experience may be considered for individuals with in-depth experience that is clearly related to the position.
  • Bachelor'sDegree must be in Mathematics, Applied Mathematics Statistics, Applied Statistics, Machine learning, Data Science, Operations Research, or Computer Science or a degree in a related field (Computer Information Systems, Engineering), a degree in the physical/hard sciences (e.g. physics, chemistry, biology, astronomy), or other science disciplines with a substantial computational component (i.e. behavioral, social, or life) may be considered if it included a concentration of coursework (5 or more courses) in advanced Mathematics (typically 300 level or higher, such as linear algebra, probability and statistics, machine learning) and/or computer science (e.g. algorithms, programming, , data structures, data mining, artificial intelligence). College-level requirement, or upper-level math courses designated as elementary or basic do not count.
  • Broader range of degrees will be considered if accompanied by a Certificate in Data Science from an accredited college/university.
  • Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least on high level language (e.g. Python), statistical analysis (e.g. variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management (e.g. data cleaning and transformation), data mining, data modeling and assessment, artificial intelligence, and/or software engineering.

Position requires active Security Clearance with appropriate Polygraph
Pay Range: 161,000-211,000
The RealmOne pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Our approach to crafting offers considers various factors to establish an equitable and competitive compensation package. These considerations include, but are not limited to, the extent and intricacy of the role's responsibilities, the candidate's educational background, their work experience, and the specific competencies crucial for success in the role.
RealmOne Benefits:
  • Healthcare Coverage + Insurance: Medical: Three (3) rich healthcare options through CareFirst with 100% or majority company-paid premiums. Tax-advantaged health savings account available with generous employer contribution. Dental + Vision: 100% employer-paid for employees and family with buy-up option available.
  • Retirement + Savings: 401K - 10% TOTAL CONTRIBUTION - 5% safe harbor - 5% annual profit share. Immediate vested, no match required!
  • Paid Time Off + More: 4 weeks starting PTO - 11 federal holidays + 2 floating holidays - Paid hours for company-required training.
  • Career Growth + Development: Access to FREE 24/7 learning via Udemy - Opportunities to participate in tech councils, industry initiatives, etc. - $7,500 annual Educational & Professional Development Assistance.
  • MORE BENEFITS...FOR EVERY LIFESTYLE! - Paid parental leave - Adoption assistance - Annual swag drops - Flexible work schedules - -Generous referral bonus program - Employee appreciation + family-friendly corporate events ...and much more.

ABOUT US
  • RealmOne is a mid-sized science and technology company dedicated to solving our customers' toughest mission challenges.
  • Headquartered in Columbia, MD., RealmOne supplies advanced cybersecurity, data science and software engineering services and products to customers in the Government and commercial sectors.
  • RealmOne delivers encompassing mission assurance and critical systems support to government customers across various U.S. locations to include Colorado, Georgia, Hawaii, Texas, Utah, and Virginia.
  • RealmOne has earned numerous awards, including being named a Top Workplace by the Baltimore Sun. With more than 30+ active contracts, 12 of which are prime, RealmOne stands as a premier innovator supporting the Government and Department of Defense, with team members located nationwide.

Disclaimer: Benefits packages offered by RealmOne are subject to variation and may differ based on work location, clearance level, and other eligibility criteria. Specific eligibility, availability, and scope of benefits are not guaranteed, may differ from those generally described, and remain subject to modification at the sole discretion of the company.

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