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Flexible Data Annotation Tech Jobs (NOW HIRING)

... Data Annotation Team Lead to help build and manage our newest team. This person will be deeply ... Quick to learn new tools and comfortable working in technology-driven workflows * You don't wait ...

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Flexible Data Annotation Tech information

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How much do flexible data annotation tech jobs pay per hour?

As of Sep 14, 2026, the average hourly pay for flexible data annotation tech in the United States is $22.84, according to ZipRecruiter salary data. Most workers in this role earn between $16.83 and $27.16 per hour, depending on experience, location, and employer.

What is a flexible data annotation tech?

Flexible Data Annotation Tech jobs involve labeling, categorizing, or tagging dataβ€”such as images, text, audio, or videoβ€”to help train machine learning models. These roles are often remote or offer flexible schedules, making them appealing for those seeking adaptable work hours. Tasks can include identifying objects in photos, transcribing audio, or sorting information based on specific guidelines. The work is essential for improving the accuracy of artificial intelligence systems by providing them with high-quality annotated data. No advanced technical skills are usually required, but attention to detail and reliability are important.

What are the key skills and qualifications needed to thrive as a flexible data annotation tech, and why are they important?

To thrive as a Flexible Data Annotation Tech, you need attention to detail, accuracy, and a basic understanding of data labeling or annotation processes, often requiring at least a high school diploma. Familiarity with annotation platforms, data labeling tools, and productivity software is typically necessary, and experience with machine learning datasets can be advantageous. Strong time management, communication, and adaptability help you excel in collaborative and ever-changing project environments. These skills ensure high-quality, consistent data output that directly impacts the performance of AI and machine learning systems.

What are some common challenges faced by flexible data annotation techs, and how can they be addressed?

Flexible Data Annotation Techs often encounter challenges such as maintaining consistency across large volumes of data, adapting to evolving project guidelines, and managing tight deadlines. To address these challenges, it's important to establish clear communication with project leads, regularly review annotation protocols, and utilize available training resources. Building strong attention to detail and staying organized can also help ensure high-quality outputs and job satisfaction.

What is the difference between Flexible Data Annotation Tech vs Data Labeler?

AspectFlexible Data Annotation TechData Labeler
CredentialsBasic computer skills, training in annotation toolsBasic education, sometimes specific software training
Work EnvironmentRemote or on-site, tech-focusedPrimarily remote or on-site, data processing settings
Industry UsageAI, machine learning, data scienceAI, machine learning, data preparation
Job FocusApplying labels to datasets using annotation toolsLabeling data according to guidelines

Flexible Data Annotation Tech roles involve using specialized tools to annotate datasets for AI training, often requiring some technical training. Data Labelers focus on applying labels to data, typically with less technical complexity. Both roles are essential in AI development but differ mainly in technical requirements and scope.

Can I do data annotation with no experience?

Data annotation roles often do not require prior experience, as training is typically provided to teach specific labeling tools and guidelines. Basic computer skills and attention to detail are usually sufficient to start, making it accessible for beginners. Over time, developing familiarity with annotation software and understanding data types can improve efficiency and accuracy.

Do data annotation jobs offer flexible hours?

Data annotation jobs often offer flexible hours, allowing workers to choose when they complete tasks, especially in freelance or remote roles. However, some positions may have specific deadlines or part-time schedules depending on the employer or platform used. Flexibility can vary based on the company's policies and project requirements.
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Infographic showing various Flexible Data Annotation Tech job openings in the United States as of September 2026, with employment types broken down into 1% As Needed, 68% Full Time, 28% Part Time, and 3% Contract. Highlights an 82% Physical, 1% Hybrid, and 17% Remote job distribution, with an average salary of $47,512 per year, or $22.8 per hour.

Data Annotation Team Supervisor - St. Louis

Saint Louis, MO β€’ On-site

Enabled Intelligence
11 - 50 employees

$55K - $60K/yr

Full-time

Posted 20 days ago


Job description

Data Annotation Team Supervisor
Location: St. Louis, MO
Enabled Intelligence
Enabled Intelligence, Inc. provides extremely accurate, precise and secure data labeling and AI solutions to help our government and commercial customers effectively deploy reliable and unbiased artificial intelligence technologies. We leverage the unique talents of veterans, people with different abilities, and subject matter experts to unlock the value of data to improve the delivery of public services and mission critical national security programs. Every Enabled solution starts with a team of highly-trained, US based data analysts that have both subject-matter expertise as well as a deep understanding of the best techniques and tools for AI data annotation, model development, and testing and evaluation.
At EI we respect and celebrate individuals from all walks of life. Our different backgrounds, cultures, experiences, and way of thinking make us stronger together and result in the most accurate and reliable AI solutions for our clients. We are extremely committed to a culture and environment where excellence can be achieved! If the idea of working in a collaborative, energetic and people focused environment where we are working together to build something meaningful excites you, Enabled Intelligence might just be the team you are looking for!
Data Annotation Supervisor
At Enabled Intelligence we believe in the value of investing in our people. By providing individualized, hands-on support to our diverse workforce, we have been able to create a superpowered team. The Data Annotation Supervisor is a critical piece of what makes our team so successful. Each supervisor is responsible for the day-to-day management of up to 20 Data Annotators including insuring team members are following company policies and have the support and Resouces they need to be successful at their job. If the idea of working in a collaborative, energetic and people focused environment where we are working together to build something meaningful excites you, Enabled Intelligence might just be the team you are looking for!
Responsibilities
  • Ownership of your team member's performance metrics including weekly review of metrics and development of performance remediation plans to help team member improve by collaborating with Project Managers, the Quality Team and Training Team
  • Ensure that your team members have the resources they need to be successful including provide job coaching and guidance on individual performance, job efficiency, professional skill development, time management, professional communication skills, teamwork, and inter-employee interaction
  • Facilitate and support performance feedback discussions when a team member is not following a policy, is having behavioral issues or is having performance issues on a project
  • Ensure that your team members are following all Enabled Intelligence polices and procedures
  • Documentation of all performance or behavioral issues
  • Track punctuality and attendance
  • Review and approve time off requests
  • Monitor and audit timecards to ensure annotators are billing their time correctly
  • Advocate for your Data Annotator team members by connecting them with the appropriate resource if they need workplace accommodations, additional assistance with an HR matter, technical support or help on a project
  • Collaborate with the Director of Data Annotation on what skill sets your team members have and what projects best match those skills and experience for appropriate project staffing
  • Manage annual performance reviews for each member of your team members
  • Assist with onboarding of new Data Annotators

Required Qualifications and Skills
  • Ability to take ownership, take initiative, problem solve and work independently
  • Ability to work with people with different and unique communication, learning and working styles in a people first culture
  • Ability to have difficult performance or behavioral improvement conversations with team members
  • Strong communication, presentation, collaboration and problem-solving skills
  • Strong experience with Microsoft Excell, PowerPoint and Word
  • Ability to work onsite Monday-Friday at the St. Louis Enabled Intelligence Office
  • Very occasional travel to the Falls Church, VA headquarters office.

Desired Qualifications and Skills
  • Previous supervisory or people management experience
  • Previous experience training entry level employees
  • Previous experience working with people who are Neurodivergent
  • Pervious data annotation experience
  • Previous experience working with U.S. government programs or federal contracts

Physical Requirements
  • Prolonged periods of sitting at a desk and working on a computer

Background & Security Clearance
  • Applicants selected will be subject to a standard background investigation. US security clearance is not required for this role

Work Location
  • Enabled Intelligence offices in St. Louis, MO.