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Entry Level Ai Data Labeling Jobs in Tennessee (NOW HIRING)

Adecco

Labeling and Packaging Associate

Chattanooga, TN

$26.09/hr

Are you looking for an entry-level position with a reputable company? No experience? No problem! We ... Record basic production data to track performance and output. * Assist with inventory management ...

Adecco

Labeling and Packaging Associate

Chattanooga, TN

$26.09/hr

Are you looking for an entry-level position with a reputable company? No experience? No problem! We ... Record basic production data to track performance and output. * Assist with inventory management ...

Adecco

Labeling and Packaging Associate

Chattanooga, TN

$26.09/hr

Are you looking for an entry-level position with a reputable company? No experience? No problem! We ... Record basic production data to track performance and output. * Assist with inventory management ...

Monogram Foods

Engineer, Data

Memphis, TN · On-site

$111K - $133K/yr

We specialize in co-manufacturing, private label, and food service solutions, offering a diverse ... Leverage AI assistance to accelerate development, documentation and troubleshooting of Python ...

Monogram Foods

Engineer, Data

Memphis, TN

$111K - $133K/yr

We specialize in co-manufacturing, private label, and food service solutions, offering a diverse ... Leverage AI assistance to accelerate development, documentation and troubleshooting of Python ...

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Entry Level Ai Data Labeling information

What are some common challenges faced by entry-level AI data labelers, and how can they be addressed?

Entry-level AI data labelers often encounter challenges such as repetitive tasks, maintaining high accuracy under tight deadlines, and understanding complex labeling guidelines. To address these, it's important to take regular breaks to avoid fatigue, seek clarification from team leads when instructions are unclear, and leverage training resources provided by the company. Collaborating with peers and utilizing feedback can also improve efficiency and accuracy, making the role both manageable and rewarding for those starting their careers in AI.

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

AspectEntry Level Ai Data LabelingData Annotation Specialist
CredentialsBasic computer skills, no formal certification often requiredSimilar; often no formal certification, but some roles prefer training in data management
Work EnvironmentRemote or on-site, flexible hours, task-basedRemote or on-site, similar flexible environment
Industry UsageCommon in AI/ML companies, tech startupsUsed across tech, healthcare, automotive industries
Search/Comparison IntentHigh overlap, both involve labeling data for AI

Entry Level Ai Data Labeling and Data Annotation Specialist roles both involve labeling data to train AI models. While they share similar credentials and work environments, the term "Data Annotation Specialist" is often used interchangeably but may imply a broader scope or more specialized tasks. Both roles are essential in AI development and typically require minimal formal education, focusing on accuracy and attention to detail.

What is entry level AI data labeling?

Entry level AI data labeling involves tagging, categorizing, or annotating data such as images, text, audio, or video to help train artificial intelligence models. Data labelers follow specific guidelines to ensure the data is accurately marked, which is essential for machine learning algorithms to learn and make predictions. This role usually requires attention to detail, basic computer skills, and the ability to follow instructions, but typically does not require advanced technical experience. Data labeling is foundational to the development of reliable AI systems.

What are the key skills and qualifications needed to thrive as an Entry Level AI Data Labeler, and why are they important?

To thrive as an Entry Level AI Data Labeler, you need strong attention to detail, basic computer literacy, and the ability to follow specific instructions, typically with at least a high school diploma or equivalent. Familiarity with annotation tools, data labeling platforms, and sometimes spreadsheet software is commonly required. Reliability, focus, and effective communication are important soft skills that help ensure high-quality, consistent work. These skills and qualities are vital for producing accurate datasets that directly impact the performance and reliability of AI models.
What are the most commonly searched types of Ai Data Labeling jobs in Tennessee? The most popular types of Ai Data Labeling jobs in Tennessee are:
What are popular job titles related to Entry Level Ai Data Labeling jobs in Tennessee? For Entry Level Ai Data Labeling jobs in Tennessee, the most frequently searched job titles are:
What job categories do people searching Entry Level Ai Data Labeling jobs in Tennessee look for? The top searched job categories for Entry Level Ai Data Labeling jobs in Tennessee are:
What cities in Tennessee are hiring for Entry Level Ai Data Labeling jobs? Cities in Tennessee with the most Entry Level Ai Data Labeling job openings:
Entry Level Ai Data Labeling jobs near you
Infographic showing various Entry Level Ai Data Labeling job openings in Tennessee as of July 2026, with employment types broken down into 63% Full Time, 28% Part Time, and 9% Contract. Highlights an 79% In-person, and 21% Remote job distribution.
AI Data Collection Specialist - Video (Remote)

AI Data Collection Specialist - Video (Remote)

micro1 AI

Memphis, TN • Remote

$13/hr

Part-time

Posted 3 days ago

Job description

Role Title: At-Home Video Recorder


Location: Remote - based in Alabama, Arkansas, Georgia, Idaho, Indiana, Iowa, Kansas, Kentucky, Louisiana, Mississippi, Montana, Nevada, New Hampshire, North Carolina, North Dakota, Ohio, Oklahoma, Pennsylvania, South Carolina, South Dakota, Tennessee, Utah, Virginia, West Virginia, and Wisconsin.


Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Key Responsibilities:

  1. Capture household tasks using your smartphone during specified physical tasks.
  2. Supported devices include the iPhone 12 and later, Google Pixel 6 and later, and Samsung Galaxy S21 and later.
  3. Record synchronized video footage to validate and enhance the integrity of collected sensor data.
  4. Follow detailed technical protocols to ensure all submissions meet strict quality, labeling, and determinism standards.
  5. Consistently contribute a minimum of 10 hours of approved video data per week throughout the project duration.
  6. Communicate effectively with the team to clarify guidelines and provide feedback on data collection processes.
  7. Ensure timely and reliable delivery of data outputs in accordance with project milestones.
  8. Participate in required device compatibility checks and a custom AI-enabled interview process.


Required Skills and Qualifications:

  1. Access to a head strap to be able to record both hands within 48 hours of the start date.
  2. Demonstrated adherence to standardized protocols and rigorous technical instructions.
  3. Proven ability to manage and deliver reliable output in a fast-paced, data-driven environment.
  4. Strong written and verbal communication skills; ability to document work and collaborate remotely.
  5. Experience with mobile devices and a high level of digital literacy.
  6. Physical capability to perform repetitive movement tasks safely and accurately.
  7. Access to a compatible smartphone for high-fidelity sensor and video data collection.
  8. Eligibility to work in designated U.S. states.
  9. Note: Applications submitted with a Gmail address are strongly preferred for seamless tool integration.


Compensation Structure:

Compensation is output-based; experts are paid per recorded video that meets the project specifications. The time required to complete work may vary depending on the expert’s experience and workflow.


Start Timeline & Availability:

We typically fill roles within 48 hours, so we’re looking for teammates who are ready to jump in. If selected, we’d love for you to start your first task as soon as you move forward with your application. The expectation is to begin within ~24 hours of completing onboarding.


Equipment Requirements

Mobile:

Tasks for this project must be performed from a mobile device (smartphone). Experts will record their workflow directly from the mobile device while completing tasks.


  1. Head Strap / Wearable: Tasks for this project must be performed using a head-mounted camera (head strap setup). Experts will record first-person video of physical tasks. The required head strap and any accompanying equipment specifications will be shared during onboarding.

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