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Data Annotation Ai Trainer Jobs in Springfield, MO

Sr. Cloud Data Engineer

Springfield, MO · On-site

$96K - $131K/yr

The data warehousing technology is Snowflake, and the AI-enabled data integration platform is ... We offer quality career resources, training, certifications, development opportunities, and a ...

Collaborate with product and research teams to refine data, guidelines, and best practices for AI ... Prior exposure to AI, legal tech, or training initiatives. Why Join: * This is an opportunity to ...

Collaborate with product and research teams to refine data, guidelines, and best practices for AI ... Prior exposure to AI, legal tech, or training initiatives. Why Join: * This is an opportunity to ...

Collaborate with product and research teams to refine data, guidelines, and best practices for AI ... Prior exposure to AI, legal tech, or training initiatives. * Experience at a corporate law firm in ...

Collaborate with product and research teams to refine data, guidelines, and best practices for AI ... Prior exposure to AI, legal tech, or training initiatives. * Experience at a corporate law firm in ...

In-house Counsel

Springfield, MO · Remote

$90 - $130/hr

Collaborate with product and research teams to refine data, guidelines, and best practices for AI ... Prior exposure to AI, legal tech, or training initiatives. * Experience at a corporate law firm in ...

Collaborate with product and research teams to refine data, guidelines, and best practices for AI ... Prior exposure to AI, legal tech, or training initiatives. * Experience at a corporate law firm in ...

Collaborate with product and research teams to refine data, guidelines, and best practices for AI ... Prior exposure to AI, legal tech, or training initiatives. * Experience working with private equity ...

Collaborate with product and research teams to refine data, guidelines, and best practices for AI ... Prior exposure to AI, legal tech, or training initiatives. * Experience at a corporate law firm in ...

Collaborate with product and research teams to refine data, guidelines, and best practices for AI ... Prior exposure to AI, legal tech, or training initiatives. * Experience working with private equity ...

Senior Software Developer

Republic, MO · On-site

$52 - $68.75/hr

... data).- Demonstrative knowledge of information security through internal training programs.### About UsAt Cerence AI, we help the world's leading automotive and technology brands leverage AI to ...

Showing results 21-40

Data Annotation Ai Trainer information

See Springfield, MO salary details

$12

$22

$33

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

As of Sep 10, 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.

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 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.

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.

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. Salaries can range from entry-level rates to higher wages for specialized skills or advanced tools proficiency.

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 tech companies and data labeling firms. However, job seekers should verify the employer's credibility to avoid scams.

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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:

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, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $46,803 per year, or $22.5 per hour.

Sr. Cloud Data Engineer

Springfield, MO • On-site

Apex Systems
IT Services • 1 - 5K employees

$96K - $131K/yr

Other

Medical, Dental, Vision, Life, Retirement

This job post has expired 1 day ago. Applications are no longer accepted.


Key responsibilities

  • Lead the design and maintenance of ETL processes, the data warehouse, and data model.

  • Collaborate with the AI and Automation team to design semantic data models that support AI-driven query generation.

  • Monitor, refine, and resolve system performance issues.


Job description

Job#: 3043320
Job Description:
JOB DESCRIPTION
Title: Senior Cloud Data Engineer
Internal Job Description
Job Summary
Join our Data Engineering team as a Senior Cloud Data Engineer, where you will lead the development and implementation of data pipelines for our cloud-based enterprise data warehouse. This role will serve as a senior technical contributor within the data organization and will work closely with the AI and Automation and Data Insights teams to develop practical solutions that enhance data accessibility, enable natural language querying, and accelerate analytics insights across the enterprise.
The primary extraction platform is Netsmart's myAvatar electronic health record system, which uses InterSystems IRIS databases via ODBC connectors. The data warehousing technology is Snowflake, and the AI-enabled data integration platform is Matillion. The warehouse design uses a medallion architecture approach and is guided by the FHIR (Fast Healthcare Interoperability Resources) standard. Reporting domains include financial, operational, clinical, quality, and administrative metrics.
This is a hands-on engineering role expected to use AI to accelerate the development of data pipelines and contribute to the success of downstream business intelligence and AI initiatives. The Senior Cloud Data Engineer works with both technical and non-technical staff and relies on experience, judgment, and creativity to achieve objectives. Specific projects will vary widely depending on organizational need.
Essential Job Functions
Lead the design and maintenance of ETL processes, the data warehouse, and data model.
Build scalable and efficient systems that accommodate business growth and reduce processing costs.
Collaborate closely with the AI and Automation team to design semantic data models that support reliable AI-driven query generation.
Determine and implement performance improvements for data architectures.
Develop audit mechanisms to measure data accuracy and reduce resources required for systems support.
Create features, functions, and data sets to enhance analysis or simplify report development.
Monitor, refine, and resolve system performance issues.
Develop and enforce database development standards.
Recommend best practices for reporting and analytics.
Develop technical documentation, including requirements, design decisions, system architecture, data models, and data dictionaries.
Evaluate Snowflake and Matillion platform capabilities for potential adoption.
Keep apprised of industry trends and learn new techniques and tools as appropriate.
Function in accordance with operational guidelines and professional ethics.
Participate in staff development activities.
Other duties as assigned.
Knowledge, Skills, and Abilities
Strong understanding of modern data warehouse architecture and analytics data modeling practices.
Strong skills writing and optimizing complex SQL queries against diverse relational databases.
Ability to communicate complex technical topics clearly to both technical and non-technical stakeholders.
Self-directed problem solver capable of leading new technical initiatives.
Knowledge of semantic data modeling and data governance principles.
Ability to translate complex analytical questions into scalable technical solutions.
Strong analytical and systems-thinking skills.
Experience with Snowflake or a similar cloud-based data platform, required.
Experience and Education Qualifications
Bachelor's Degree or equivalent experience in Computer Science, Data Engineering, Data Science, Information Systems, or related field.
5+ years of experience with enterprise data warehousing and business intelligence solutions.
Demonstrated experience building ETL pipelines in cloud-based enterprise environments.
Experience with Netsmart myAvatar, healthcare analytics, and/or the InterSystems IRIS database platform preferred.
Experience with Matillion data integration platform preferred.
Everforth Apex is a world-class IT services company that serves thousands of clients across the globe. When you join Everforth Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRateds Best of Staffing in Talent Satisfaction in the United States and Great Place to Work in the United Kingdom and Mexico.
Everforth Apex uses a virtual recruiter as part of the application process. Click for more details. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Everforth Apex and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy at
Everforth Apex Benefits Overview: Everforth Apex offers a range of supplemental benefits, including medical, dental, vision, life, disability, and other insurance plans that offer an optional layer of financial protection. We offer an ESPP (employee stock purchase program) and a 401K program which allows you to contribute typically within 30 days of starting, with a company match after 12 months of tenure. Everforth Apex also offers a HSA (Health Savings Account on the HDHP plan), a SupportLinc Employee Assistance Program (EAP) with up to 8 free counseling sessions, a corporate discount savings program and other discounts. In terms of professional development, Everforth Apex hosts an on-demand training program, provides access to certification prep and a library of technical and leadership courses/books/seminars once you have 6+ months of tenure, and certification discounts and other perks to associations that include CompTIA and IIBA. Everforth Apex has a dedicated customer service team for our Consultants that can address questions around benefits and other resources, as well as a certified Career Coach. You can access a full list of our benefits, programs, support teams and resources within our 'Welcome Packet' as well, which an Everforth Apex team member can provide.
Everforth Apex Systems is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. Everforth Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law.
If you require an accommodation under the Americans with Disabilities Act to participate in an interview with a virtual recruiter or to use our website for a search or application, please contact our Benefits Department at or . Please note that this contact information is strictly to be used for medical ADA accommodations and that no other inquiries will be answered.
UnitedHealthcare creates and publishes the Transparency in Coverage Machine-Readable Files on behalf of Everforth Apex Systems.