ZipRecruiter

Log In

1

Data Annotation Ai Trainer Jobs in Frederick, MD

Axle

Data Scientist II

Rockville, MD

Incorporate AI/LLM-based extraction where appropriate, with clear validation and communication to ... Training and Scientific Enablement: Experience creating documentation, training materials, or ...

The Emmes Company, LLC

Data Scientist

Rockville, MD · On-site

Overview Data Scientist Be Part of One Team, One Purpose. At Emmes Group , we're shaping the future ... AI and machine learning models, and you will oversee training, testing, and collaborate on the ...

Emmes

Data Scientist

Rockville, MD · On-site +1

Overview Data Scientist Be Part of One Team, One Purpose. At Emmes Group , we're shaping the future ... AI and machine learning models, and you will oversee training, testing, and collaborate on the ...

Cisco

Applied AI Scientist

Rockville, MD · On-site

We combine deep AI research expertise with the scale and operational excellence of Splunk and Cisco ... Develop and enhance distributed training and inference workflows, leveraging data-driven approaches ...

Govcio LLC

Senior Data Scientist

Kearneysville, WV · On-site

$133K - $169K/yr

S. Coast Guard (USCG) Data & AI Integration Team. This role is primarily responsible for ... Experience developing, training, and deploying enterprise-level machine learning models and data ...

Leidos

Senior Data Scientist

Rockville, MD · On-site

$131K - $237K/yr

Through training, teamwork, and exposure to challenging technical work, let Leidos show how to ... This program is at the forefront of deploying enterprise-scale AI, data, and mission platform ...

Leidos

Senior Data Scientist

Rockville, MD · Hybrid

$131K - $237K/yr

Through training, teamwork, and exposure to challenging technical work, let Leidos show how to ... This program is at the forefront of deploying enterprise-scale AI, data, and mission platform ...

TAMKO

Manufacturing Data Scientist

Frederick, MD · On-site

As a Manufacturing Data Scientist at TAMKO, you will be integral to executing the AI and data ... and/or training, or an equivalent combination of education and experience. * Strong analytical ...

Capital I, LLC

Operations Data Analyst

Frederick, MD · On-site

$115K - $150K/yr

... training, and development of SOPs, user guides, and data dictionaries; as required, assists with authorized AI/ML-enabled analytic tools. Travel * Occasional travel to CONUS and OCONUS sites may be ...

Capital I, LLC

Operations Data Analyst

Frederick, MD · On-site

$115K - $150K/yr

... training, and development of SOPs, user guides, and data dictionaries; as required, assists with authorized AI/ML-enabled analytic tools. Travel * Occasional travel to CONUS and OCONUS sites may be ...

Barrow Wise Consulting

AI Engineer

MD · On-site

$80K - $160K/yr

Utilizes big data computation and storage models to create prototypes and data sets * Develop ... Conduct model training and evaluation, integrate tests, and optimize solutions * Serve as an expert ...

Commence

Sr. AI/ML Engineer

Leesburg, VA · On-site

$105K - $145K/yr

... data ingestion, feature engineering, model training, validation, deployment, and monitoring ... Develop and optimize AI/LLM-driven workflows (e.g., document extraction, classification ...

Leidos

Senior AI Engineer

Rockville, MD · Hybrid

$131K - $237K/yr

Through training, teamwork, and exposure to challenging technical work, let Leidos show how to ... This program is at the forefront of deploying enterprise-scale AI, data, and mission platform ...

next page

Showing results 1-20

All JobsData Annotation Ai Trainer JobsData Annotation Ai Trainer Jobs in Frederick, MD

Data Annotation Ai Trainer information

See Frederick, MD salary details

$13

$24

$36

How much do data annotation ai trainer jobs pay per hour?

As of Aug 29, 2026, the average hourly pay for data annotation ai trainer in Frederick, MD is $24.60, according to ZipRecruiter salary data. Most workers in this role earn between $18.65 and $26.30 per hour, depending on experience, location, and employer.

What is a data annotation AI trainer?

A Data Annotation AI Trainer is responsible for labeling and annotating data to help train machine learning models. This involves identifying objects, tagging text, or categorizing images to improve AI accuracy. The role requires attention to detail and an understanding of guidelines to ensure high-quality labeled data. AI trainers work closely with data scientists and engineers to refine model performance through precise annotations.

What does a data annotation AI trainer do?

As a Data Annotation Ai Trainer, your typical day involves reviewing and labeling large datasets, providing feedback to annotation teams, and ensuring that data quality meets project standards. You'll often collaborate with data scientists, machine learning engineers, and project managers to clarify guidelines and resolve ambiguities. Periodically, you may help develop or refine documentation and training materials to improve annotation consistency. The role requires both independent work and open communication to maintain high accuracy and support AI development initiatives.

What are the key skills and qualifications needed to thrive as a data annotation AI trainer?

To thrive as a Data Annotation Ai Trainer, you need a keen attention to detail, basic data analysis skills, and familiarity with machine learning concepts, often supported by a relevant degree or coursework. Experience with annotation tools like Labelbox, Supervisely, or similar platforms, along with knowledge of data privacy standards, is commonly required. Strong communication, problem-solving ability, and patience help you work effectively in teams and ensure data quality. These skills are essential because they directly influence the accuracy and effectiveness of AI models trained using annotated data.

How much do data annotation AI trainers make?

Data annotation AI trainers typically earn between $15 and $30 per hour, depending on experience, location, and the complexity of the annotation tasks. Salaries can range from entry-level rates to higher wages for specialized skills or advanced tools proficiency.

Is data annotation AI trainer job legitimate?

Data annotation AI trainer jobs are legitimate roles involving labeling data to help train machine learning models. These positions often require attention to detail and familiarity with annotation tools, and they are commonly offered by tech companies and data labeling firms. However, job seekers should verify the employer's credibility to avoid scams.

What are popular job titles related to Data Annotation Ai Trainer jobs in Frederick, MD?

For Data Annotation Ai Trainer jobs in Frederick, MD, the most frequently searched job titles are:

What job categories do people searching Data Annotation Ai Trainer jobs in Frederick, MD look for?

The top searched job categories for Data Annotation Ai Trainer jobs in Frederick, MD are:

What cities near Frederick, MD are hiring for Data Annotation Ai Trainer jobs?

Cities near Frederick, MD with the most Data Annotation Ai Trainer job openings:

Data Annotation Ai Trainer jobs near you
Infographic showing various Data Annotation Ai Trainer job openings in Frederick, MD as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 16% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $51,159 per year, or $24.6 per hour.

Assistant Research Scientist (PREP0004176)

Gaithersburg, MD • On-site

Johns Hopkins University
Colleges, Universities, and Professional Schools • 10K+ employees

8.0

Company rating: 8.0 out of 10

Based on 71 frontline employees who took The Breakroom Quiz

190th of 627 rated colleges and universities

People enjoy working here

Good employer

Recommended by students

Learn more about Johns Hopkins Universityexternal

Full-time

Re-posted 22 days ago

Job description

Description
PREP Research Associate
This position is part of the National Institute of Standards and Technology (NIST) Professional Research Experience Program (PREP). NIST recognizes that its research staff may want to collaborate with researchers at academic institutions on specific projects of mutual interest and, therefore, requires those institutions to be recipients of a PREP award. The PREP program involves staff from a wide range of backgrounds conducting scientific research across various fields. Individuals in this position will perform technical work supporting the collaboration's scientific research.
Research Title:
Reliability of Human and LLM Annotations for AI Risk Assessment
The work will entail:
This project focuses on using Large Language Models (LLMs) to provide annotations of evaluation data (a.k.a., LLM as judge), and the design of an Inter-Annotator Agreement study to assess the reliability of both human and LLM annotations. The candidate will explore assessing the indicators of a given AI-related risk, determining how to identify them, and providing annotators with examples to annotate the presence of various risks. The project aims to develop an annotation framework for AI risk assessment and establish metrics for data quality in AI risk research, supporting broader work at NIST in assessing and measuring the validity and reliability of AI-related risks in data annotation.
U.S. Citizen Preferred
Key responsibilities will include but are not limited to:
  • Gain familiarity with existing literature on data annotation and LLM as judge
  • Understand NIST's role and ongoing efforts in assessing and measuring the validity and reliability of AI-related risks in data annotation
  • Contribute to developing an annotation framework for AI risk assessment
  • Collaborate effectively with cross-functional and interdisciplinary stakeholders to ensure successful project outcomes

Deliverables
  • Contributions to a NIST report that supports ongoing NIST AI evaluation efforts focused on the design of an Inter-Annotator Agreement to assess the reliability of both human and LLM annotations.

Qualifications
  • Background in Computer Science, Data Science, or related field.
  • Education level: Bachelor's or Graduate Degree
  • Strong interest in data annotation and AI risks
  • Familiarity with scientific reading and technical writing

Application Instructions
Please upload the following with your application:
• CV/Resume
*Please limit C.V to 3 pages only and ONLY include a valid email address for your contact info. Your resume will not be considered if the following information is included on your CV/resume.
• Self portraits
• Phone number
• Home address/Country
• Citizenship status
• Languages spoken
• Sex/Gender
Privacy Act Statement
Authority: 15 U.S.C. § 278g-1(e)(1) and (e)(3) and 15 U.S.C. § 272(b) and (c)
Purpose: The National Institute for Standards and Technology (NIST) hosts the Professional Research Experience Program (PREP) which is designed to provide valuable laboratory experience and financial assistance to undergraduates, post-bachelor's degree holders, graduate students, master's degree holders, postdocs, and faculty.
PREP is a 5-year cooperative agreement between NIST laboratories and participating PREP Universities to establish a collaborative research relationship between NIST and U.S. institutions of higher education in the following disciplines including (but may not be limited to) biochemistry, biological sciences, chemistry, computer science, engineering, electronics, materials science, mathematics, nanoscale science, neutron science, physical science, physics, and statistics. This collection of information is needed to facilitate administrative functions of the PREP Program.
Routine Uses: NIST will use the information collected to perform the requisite reviews of the applications to determine eligibility, and to meet programmatic requirements. Disclosure of this information is also subject to all the published routine uses as identified in the Privacy Act System of Records Notices: NIST-1: NIST Associates.
Disclosure: Furnishing this information is voluntary. When you submit the form, you are indicating your voluntary consent for NIST to use of the information you submit for the purpose stated.
Johns Hopkins University logo

About Johns Hopkins University

Sourced by ZipRecruiter

Gilman believed that teaching and research go hand in hand—that success in one depends on success in the other—and that a modern university must do both well. He also believed that sharing our knowledge and discoveries would help make the world a better place. In 145 years, we haven’t strayed from that vision. This is still a destination for excellent, ambitious scholars and a world leader in teaching and research. Distinguished professors mentor students in the arts and music, humanities, social and natural sciences, engineering, international studies, education, business, and the health professions. Those same faculty members, along with their colleagues at the university’s Applied Physics Laboratory, have made us the nation’s leader in federal research and development funding every year since 1979. That’s a fitting distinction for America’s first research university, a place that has revolutionized higher education in the U.S. and continues to bring knowledge and discoveries to the world.

Industry

Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

Baltimore, MD, US

Year founded

1876

View All Johns Hopkins University Jobs

What Johns Hopkins University employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply