Tulsa, OK · On-site
$90 - $130/hr
About Rise Data Labs Rise Data Labs is a leading AI training and data annotation company that ... Supply the kinds of reference materials you'd use on the job (spreadsheets, CAD/engineering files ...
Tulsa, OK · On-site
$90 - $130/hr
About Rise Data Labs Rise Data Labs is a leading AI training and data annotation company that ... Supply the kinds of reference materials you'd use on the job (spreadsheets, CAD/engineering files ...
Norman, OK · On-site
... imaging biomarkers, AI-assisted annotation, and reproducible computational analysis ... A Ph.D. in Computer Science, Data Science, Biomedical Informatics, Electrical Engineering, or a ...
New
Norman, OK · On-site
... imaging biomarkers, AI-assisted annotation, and reproducible computational analysis ... A Ph.D. in Computer Science, Data Science, Biomedical Informatics, Electrical Engineering, or a ...
New
$47.6K - $59.8K
2% of jobs
$59.8K - $72K
9% of jobs
$80.5K is the 25th percentile. Wages below this are outliers.
$72K - $84.2K
20% of jobs
$84.2K - $96.4K
4% of jobs
$96.4K - $108.6K
4% of jobs
$108.6K - $120.8K
1% of jobs
$120.8K - $133K
0% of jobs
$133K - $145.3K
0% of jobs
The median wage is $151.4K / yr.
$145.3K - $157.5K
18% of jobs
$157.5K - $169.7K
0% of jobs
$174.4K is the 75th percentile. Wages above this are outliers.
$169.7K - $181.9K
41% of jobs
$47.6K
$136.2K
$181.9K
A Data Annotation Engineer is responsible for labeling and annotating data—such as text, images, audio, or video—to train machine learning models. They ensure that data is accurately categorized and structured to improve model performance. This role often involves using specialized annotation tools, following detailed guidelines, and working closely with data scientists and AI teams. Data Annotation Engineers play a crucial role in the development of AI applications by providing high-quality labeled datasets for supervised learning.
To thrive as a Data Annotation Engineer, you need a strong background in data analysis, attention to detail, and familiarity with annotation processes, often supported by a degree in computer science or a related field. Proficiency with annotation tools like Labelbox, CVAT, or VIA, and understanding of data formats used in machine learning, is commonly required. Excellent communication, collaboration, and organizational skills help you effectively manage projects and cooperate with cross-functional teams. These abilities are crucial for delivering high-quality labeled data, which directly impacts the performance of AI and machine learning models.
One of the main challenges Data Annotation Engineers face is ensuring consistent accuracy and quality in labeling large and often complex datasets. Attention to detail is critical, as even small errors can significantly affect machine learning model performance. Additionally, engineers must frequently adapt to evolving annotation guidelines and emerging data types, which requires ongoing learning and flexibility. Collaboration with data scientists and project managers is common to clarify requirements and resolve ambiguities, making strong communication skills essential for success.
For Data Annotation Engineer jobs in Oklahoma, the most frequently searched job titles are:
The top searched job categories for Data Annotation Engineer jobs in Oklahoma are:
Cities in Oklahoma with the most Data Annotation Engineer job openings:
Tulsa, OK • On-site
$90 - $130/hr
Other
Posted 9 days ago
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.
