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Part Time Ai Data Annotation Jobs in Missouri (NOW HIRING)

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Part Time Ai Data Annotation information

What is a part time AI data annotation?

A Part Time AI Data Annotation job involves labeling, categorizing, or tagging data—such as images, text, or audio—to help train artificial intelligence and machine learning models. Annotators review raw data and apply guidelines to ensure AI systems learn to recognize patterns accurately. These roles are often flexible, can be done remotely, and require attention to detail and consistency. It's a great entry-level position for those interested in AI and technology, even without a technical background.

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

To thrive as a Part Time AI Data Annotation specialist, attention to detail, basic computer literacy, and a high school diploma or equivalent are typically required. Familiarity with annotation platforms, data labeling tools, and sometimes workflow management systems is important for efficiency. Strong organizational skills, reliability, and the ability to follow precise instructions make someone stand out in this position. These skills ensure high-quality, accurate labeled data, which is critical for training effective AI models.

What are some common challenges faced by part-time AI data annotators, and how can they be managed?

Part-time AI data annotators often encounter challenges such as maintaining accuracy while working with repetitive tasks and managing time effectively alongside other commitments. Annotators may also face ambiguity in data or unclear labeling instructions. To address these challenges, it's important to ask clarifying questions, take regular breaks to maintain focus, and stay updated on annotation guidelines. Many teams provide support channels and regular training sessions to help annotators improve their skills and ensure consistency.

What is the difference between Part Time Ai Data Annotation vs Data Labeler?

AspectPart Time Ai Data AnnotationData Labeler
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote or on-site, flexible hoursRemote or on-site, flexible hours
Industry UsageAI, machine learning, tech companiesAI, machine learning, tech companies
Search IntentPart Time Ai Data Annotation vs Data Labeler

Part Time Ai Data Annotation involves labeling data specifically for training AI models, often requiring understanding of data types like images, text, or audio. Data Labelers perform similar tasks but may have broader roles in data categorization. Both roles are similar in credentials and work environment, primarily serving AI and tech industries. The main difference lies in terminology and specific job descriptions, but they often overlap in responsibilities and skills.

How much do you get paid for part time AI data annotation?

Part time AI data annotation jobs typically pay between $10 and $20 per hour, depending on the complexity of the task and the employer. Compensation can vary based on experience, the platform used, and the specific project requirements.

What are the most commonly searched types of Ai Data Annotation jobs in Missouri?

The most popular types of Ai Data Annotation jobs in Missouri are:

What are popular job titles related to Part Time Ai Data Annotation jobs in Missouri?

For Part Time Ai Data Annotation jobs in Missouri, the most frequently searched job titles are:

Infographic showing various Part Time Ai Data Annotation job openings in Missouri as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution.

Annotation Technician Part-Time

Triumph Foods, L.L.C

Saint Joseph, MO • On-site

Part-time

Posted 10 days ago


Job description

This is NOT a remote job. You are required to report to the plant in St. Joseph, MO for work.
SUMMARY:
Responsibility will involve accurately annotating, labeling, or preparing data for the Triumph Innovation Team. Team members will collaborate with Application Developers to ensure data are precise and accurate.
YOU MUST BE AT LEAST 18 TO WORK AT TRIUMPH FOODS. Triumph Foods only employs individuals who are 18 years of age or older. If you are under 18 your application will not be considered.
SUPERVISORY RESPONSIBILITIES:
None.
ESSENTIAL DUTIES AND RESPONSIBILITIES:
Include the following: Other duties may be assigned.
  • Annotate and label various data types, including images, videos, and point clouds.
  • Ensure the quality and accuracy of annotations - preventing errors that could compromise algorithm effectiveness.
  • Uphold consistency in annotations, making certain all the annotations follow the same rules and guidelines.
  • Meet deadlines as agreed upon with team members and management.
  • Quality control checks, including reviewing and verifying the work of fellow annotators.
  • Improve annotation processes.

QUALIFICATION REQUIREMENTS:
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the work environment, knowledge, skill, and/or ability required or preferred. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
EDUCATION and/or EXPERIENCE:
High School Diploma required; some college courses in science or engineering required.
KNOWLEDGE:
Prior experience in data labeling or annotation for machine learning applications is preferred, but not required. Experience with an annotation platform is preferred. Familiarity with computer vision tasks such as object detection, segmentation, and classification. Attention to detail, with a commitment to maintaining the highest levels of accuracy. Capability to excel both as an independent contributor and as a collaborative team member.
LICENSE/CERTIFICATIONS:
None required.
COMMUNICATION SKILLS:
Strong interpersonal and communication skills. Must have excellent written and verbal communication skills. Possess the skill set to effectively and clearly communicate with others within and outside of the Company.
LANGUAGE SKILLS:
Ability to read and interpret documents in the English language, such as safety files, operating and maintenance instructions, and procedure manuals.
MATHEMATICAL SKILLS:
Ability to apply mathematical applications in practical situations.
REASONING ABILITY:
Adaptability and resilience in dynamic, fast-paced environments. Ability to solve practical problems. Ability to interpret a variety of instructions furnished in written, oral, diagram, or schedule form.
OTHER SKILLS AND ABILITIES:
Ability to use computers and all standard programs used by the industry and learn and effectively use any and all other computer programs that are or will be made available.
PHYSICAL DEMANDS:
The physical demands here are representative of those an employee should possess to successfully perform the essential functions of the job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
While performing the duties of this job, the employee will be required to move about the facility. The employee must sit; use hands to finger; handle; or feel/hold objects; reach with hands and arms; climb or balance; speak; hear, taste, and smell. The employee must regularly lift and/or move up to 10 pounds, frequently lift and/or move up to 25 pounds, and occasionally lift and/or move up to 50 pounds.
WORK ENVIRONMENT:
The work environment characteristics described here are representative of those an employee encounters when performing the essential functions of the job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
The work environment would normally be an office-type setting but may require trips through the entire facility (which would include climate extremes) and external locations.
DISCLAIMER:
This position description is not intended, and should not be construed to be, an exhaustive list of all responsibilities, skills, efforts or working conditions associated with this job. It is intended, however, to be an accurate reflection of the general responsibilities and requirements necessary to be successful. Triumph may, in its discretion, modify or revise the position description in order to meet the company's changing business needs.
EEO/AA INFORMATION:
Triumph is an Equal Opportunity/Affirmative Action (EEO/AA) Employer. All qualified applicants will receive consideration without regard to race, color, national origin, sex, sexual orientation, gender identity, religion, age, status as a protected veteran, status as an individual with disability, or any other protected group status or non-job related characteristic as directed by law.