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Entry Level Ai Annotation Jobs (NOW HIRING)

Robotics Operator

San Francisco, CA · On-site

$22 - $29/hr

About Us We're a stealth-mode startup at the frontier of Physical AI, building foundation models ... This is an entry-level role -- no prior robotics experience required . This role is repetitive by ...

This is not an entry-level drafting seat. We need someone who has already produced complete ... annotation sets, CAD blocks, title blocks, wall types, detail library, and plan defaults -- so ...

This is not an entry-level drafting seat. We need someone who has already produced complete ... annotation sets, CAD blocks, title blocks, wall types, detail library, and plan defaults -- so ...

Entry Level Ai Annotation information

What is an entry level AI annotation job?

Entry level AI annotation jobs involve labeling, categorizing, or tagging data—such as images, text, or audio—to train artificial intelligence systems. Annotators ensure that the data used to build machine learning models is accurate and well organized. This work is crucial for teaching AI systems to recognize patterns and make decisions. These positions typically require attention to detail, basic computer skills, and sometimes familiarity with specific tools or guidelines provided by employers. Most roles are suitable for beginners and may offer remote or flexible work arrangements.

What skills and qualifications are needed for an entry level AI annotation specialist?

To thrive as an Entry Level AI Annotation Specialist, you need keen attention to detail, basic data handling abilities, and at least a high school diploma or equivalent. Familiarity with data labeling platforms and annotation tools such as Labelbox or Supervisely is commonly required. Strong communication skills, reliability, and the ability to follow complex instructions help individuals excel in this role. These competencies ensure high-quality, accurately labeled data, which is vital for training effective AI and machine learning models.

What challenges do entry level AI annotation specialists face, and how can they be addressed?

Entry level AI annotation specialists often encounter challenges such as maintaining high accuracy while labeling large volumes of data and understanding complex annotation guidelines. To address these, it's important to ask questions when instructions are unclear and to participate in any provided training sessions. Regular feedback from supervisors and collaboration with teammates can also help improve quality and consistency. Attention to detail and the ability to stay focused during repetitive tasks are crucial for success in this role.

What is the difference between Entry Level Ai Annotation vs Data Labeler?

AspectEntry Level Ai AnnotationData Labeler
Required CredentialsHigh school diploma or equivalent; basic computer skillsHigh school diploma or equivalent; attention to detail
Work EnvironmentRemote or office-based; using annotation toolsRemote or on-site; labeling data sets
Industry UsageAI development, machine learning projectsData management, research, AI training
Search & Comparison IntentUnderstanding entry-level roles in AI annotationSimilar roles in data labeling and annotation

Entry Level Ai Annotation and Data Labeler roles are similar, focusing on preparing data for AI models. Both require basic technical skills and attention to detail. However, Ai Annotation often involves more specialized tools and may be part of larger AI development projects, while Data Labelers may work across various industries with broader data tasks.

Can I work for data annotation with no experience?

Entry level AI annotation jobs typically do not require prior experience, as training is often provided to teach specific labeling tools and guidelines. Basic computer skills, attention to detail, and the ability to follow instructions are usually sufficient to start. These roles are suitable for beginners looking to enter the AI and data labeling industry.

How much do entry level AI annotators make?

Entry level AI annotators typically earn between $10 and $15 per hour, depending on the company and location. The role often requires basic computer skills and attention to detail, with some positions offering flexible schedules or remote work options.

How to become an entry level AI annotator?

To become an entry-level AI annotator, candidates typically need basic computer skills, attention to detail, and the ability to follow instructions. Familiarity with data labeling tools and understanding of AI or machine learning concepts can be helpful, but formal certifications are not usually required. Many positions are remote and offer flexible schedules, making them accessible to a wide range of applicants.
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Infographic showing various Entry Level Ai Annotation job openings in the United States as of August 2026, with employment types broken down into 33% Full Time, and 67% Contract. Highlights an 100% In-person job distribution.

Data Annotation Team Supervisor - St. Louis

Enabled Intelligence

Saint Louis, MO • On-site

Full-time

Posted 4 days ago


Job description

Data Annotation Team Supervisor Location: St. Louis, MO Enabled IntelligenceEnabled 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! ResponsibilitiesOwnership 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 TeamEnsure 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 interactionFacilitate 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 projectEnsure that your team members are following all Enabled Intelligence polices and proceduresDocumentation 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 AnnotatorsRequired Qualifications and SkillsAbility 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 membersStrong communication, presentation, collaboration and problem-solving skills Strong experience with Microsoft Excell, PowerPoint and WordAbility 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 SkillsPrevious 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 RequirementsProlonged periods of sitting at a desk and working on a computerBackground & Security ClearanceApplicants selected will be subject to a standard background investigation. US security clearance is not required for this roleWork Location Enabled Intelligence offices in St. Louis, MO.
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