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Data Annotation Jobs in Tulsa, OK (NOW HIRING)

micro1 AI

AI Trainer - Microbiology Expert

Tulsa, OK · Remote

$70 - $90/hr

Document experimental findings and processes with a focus on clarity for AI training data ... Experience with AI, machine learning, or annotation projects related to biology or microbiology.

All JobsData Annotation JobsData Annotation Jobs in Tulsa, OK

Data Annotation information

See Tulsa, OK salary details

$8

$22

$47

How much do data annotation jobs pay per hour?

As of Sep 8, 2026, the average hourly pay for data annotation in Tulsa, OK is $22.26, according to ZipRecruiter salary data. Most workers in this role earn between $15.06 and $26.51 per hour, depending on experience, location, and employer.

What is a data annotation?

A Data Annotation job involves labeling and categorizing data, such as text, images, audio, or video, to help train machine learning models. Annotators apply tags, bounding boxes, or classifications to data based on specific guidelines. This process improves the accuracy of AI systems in recognizing patterns and making predictions. Many data annotation jobs require attention to detail and familiarity with specific domains. It is commonly used in applications like autonomous driving, natural language processing, and computer vision.

What does a data annotation do?

A typical workday as a Data Annotator involves reviewing datasets—such as images, audio, text, or video—and accurately labeling or categorizing information according to specific project guidelines. Most Data Annotators work independently, but they often collaborate with project managers or data scientists to clarify requirements and resolve ambiguities. Tasks may be repetitive, but adhering to precise standards is vital for maintaining data quality. Work environments can range from technology companies to remote or freelance settings, and advancement opportunities exist as team leads or quality assurance specialists for those who excel in consistency and reliability.

What are the key skills and qualifications needed to thrive in data annotation?

To thrive in Data Annotation, you need strong attention to detail, accuracy, and basic data handling skills, often supported by a high school diploma or equivalent. Familiarity with annotation platforms, data labeling software, or content management systems is frequently required, though specific certifications are rare. Excellent communication, time management, and the ability to focus on repetitive tasks distinguish top performers in this role. These skills are crucial because accurate and consistent data annotation directly impacts the quality of machine learning models and AI applications.

How much money can I make doing data annotation?

Data annotation jobs typically pay between $10 and $20 per hour, depending on the complexity of the task and the employer. Experienced annotators or those working on specialized projects may earn higher rates, especially if they have skills in specific tools or domains. Earnings can vary based on whether the work is freelance, part-time, or full-time, and some platforms offer bonuses for accuracy or speed.

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Data Annotation jobs near you
Infographic showing various Data Annotation job openings in Tulsa, OK as of August 2026, with employment types broken down into 64% Full Time, 22% Part Time, and 14% Contract. Highlights an 71% In-person, and 29% Remote job distribution, with an average salary of $46,310 per year, or $22.3 per hour.

Manufacturing AI Training Specialist -- Task Creation & Model Evaluation (Contract)

Risedatalabs

Tulsa, OK • On-site

$100 - $125/hr

Other

Posted 20 days ago

Job description

About Rise Data Labs Rise Data Labs is a leading AI training and data annotation company that specializes in creating high-quality training data for artificial intelligence systems. We work with top AI companies and research institutions to improve machine learning models through expert human annotation and validation. Our team of domain specialists, subject matter experts, and quality assurance professionals work across various fields including manufacturing, engineering, operations, and supply chain. We pride ourselves on our attention to detail, domain expertise, and commitment to delivering accurate, high-quality training data.


Job Overview As a Manufacturing AI Training Specialist at Rise Data Labs, you will play a crucial role in training and enhancing AI models specifically tailored for the manufacturing domain. Rather than traditional annotation and labeling, this role centers on benchmark task creation and evaluation: you'll draw on your real professional experience to author realistic, economically valuable manufacturing tasks and rubrics, then grade AI-generated deliverables against them.


What You'll Do


  • Author realistic task scenarios drawn from your own professional experience - e.g., analyzing production data, building cost or capacity models, evaluating supplier quotes, or reviewing technical specs

  • Supply the kinds of reference materials you'd use on the job (spreadsheets, CAD/engineering files, procurement documents)

  • Write detailed rubrics defining what a correct, high-quality deliverable requires - specific calculations, formatting, and structure a client would expect

  • Grade AI-generated deliverables (often Excel models or technical documents) against your rubric and professional judgment

  • Participate in calibration sessions with other experts to align scoring standards across the benchmark


Preferred Qualifications


  • Bachelor's or Master's degree in Industrial Engineering, Mechanical Engineering, Operations, or a related field

  • Prior hands-on experience in manufacturing operations, production management, or supply chain/procurement

  • Comfort working in Excel-heavy workflows (cost models, BOMs, capacity planning)

  • Prior experience with AI model training, evaluation, or benchmark development is a plus


What We Offer At Rise Data Labs, we value our contributors and strive to create a supportive, flexible working environment. We offer opportunities for professional development in the AI field and the chance to work on innovative projects that directly shape the future of AI in manufacturing and industrial work.

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