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Data Annotation Ai Trainer Jobs in Springfield, MO

TERRACON

Geotechnical Staff Engineer

Springfield, MO · On-site

... data wherever projects are located.From AI-supported solutions and predictive technologies to ... Engineer-in-Training (EIT) or Engineering Intern (EI) required. * Follow safety rules, guidelines ...

TERRACON

Geotechnical Staff Engineer

Springfield, MO · On-site

Engineer-in-Training (EIT) or Engineering Intern (EI) required. About Us Terracon is a 100 percent ... data wherever projects are located. From AI-supported solutions and predictive technologies to ...

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Data Annotation Ai Trainer information

See Springfield, MO salary details

$12

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$33

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

As of Aug 11, 2026, the average hourly pay for data annotation ai trainer in Springfield, MO is $22.50, according to ZipRecruiter salary data. Most workers in this role earn between $17.07 and $24.04 per hour, depending on experience, location, and employer.

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. Entry-level positions may pay closer to minimum wage, while experienced trainers with specialized skills can earn higher wages, especially when working on large datasets or with advanced annotation tools.

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 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.

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.

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 technology companies and AI service providers. However, job seekers should verify the employer's credibility to avoid scams.
What job categories do people searching Data Annotation Ai Trainer jobs in Springfield, MO look for? The top searched job categories for Data Annotation Ai Trainer jobs in Springfield, MO are:
What cities near Springfield, MO are hiring for Data Annotation Ai Trainer jobs? Cities near Springfield, MO 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 Springfield, MO as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 18% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $46,803 per year, or $22.5 per hour.

Work From Home - Client Services Representative

AO Garcia Agency

Springfield, MO • On-site, Remote

$14.50 - $19.75/hr

Full-time

Re-posted 5 days ago

Job description

Are you a passionate individual seeking a fulfilling career that offers flexibility and growth opportunities? Look no further! With the option to work from home and enjoy a flexible schedule, you can balance your personal and professional life seamlessly while advancing your career.

In this role, you will assume a vital position in securing families' financial well-being..

Typical day-to-day tasks include:
Conducting virtual consultations with clients.
Assessing clients' needs and imparting knowledge on solutions.
Cultivating lasting client relationships through consistent, periodic check-ins.
Completing related administrative tasks (like note taking, appointment setting, etc.) as needed.

Incentives include but not limited to:
No cold calling
Qualified lead program
Advancement based on performance
Weekly pay
Mentorship and complete training
Industry leading tools and technology access
Work from home (web conference-based presentations)

Looking for candidates who hold the below characteristics:
Passionate. Competitive. Motivated. Dependable. Hardworking. Adaptable. Flexible, Trainable.

If you are a hard-working, motivated team player, this may be an opportunity for you!

*All interviews will be conducted via Zoom video conferencing
(Global Elite Empire Consultants is a third-party recruiter, not an insurance agency)
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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