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Contract Data Annotation Jobs in Tulsa, OK (NOW HIRING)

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Contract Data Annotation information

What is a contract data annotation?

A contract data annotation job involves labeling or tagging data—such as images, text, audio, or video—according to specific guidelines, usually on a temporary or project-based contract. These annotations help train machine learning models by providing accurate, human-labeled examples for algorithms to learn from. Contract workers are typically hired for a set period or project and may work remotely or on-site, depending on the employer. The work requires attention to detail, adherence to quality standards, and sometimes familiarity with specialized annotation tools.

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

To thrive as a Contract Data Annotation Specialist, you need a keen eye for detail, strong analytical skills, and familiarity with data labeling standards, often supported by experience in data management or related fields. Proficiency with annotation platforms (such as Labelbox, Prodigy, or CVAT) and basic knowledge of data formats like JSON or XML are commonly required. Excellent communication, time management, and the ability to work independently help individuals excel in this often remote and deadline-driven role. These skills ensure high-quality, accurate data annotations that are vital for training reliable machine learning models.

What are some common challenges faced by contract data annotation professionals, and how can they be effectively managed?

Contract data annotation professionals often encounter challenges such as maintaining consistency in labeling, managing tight project deadlines, and ensuring data privacy. These challenges can be effectively managed by following detailed annotation guidelines, utilizing collaborative tools for team communication, and participating in regular quality assurance checks. Staying organized and proactive about seeking clarification from project leads also helps ensure high-quality, accurate results and a smooth workflow.

What is the difference between Contract Data Annotation vs Data Labeler?

AspectContract Data AnnotationData Labeler
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote or on-site, project-basedRemote or on-site, task-based
Industry UsageAI/ML training, tech companiesAI/ML training, tech companies
Job FocusAnnotating data for machine learning modelsLabeling data to improve AI algorithms

Contract Data Annotation involves completing specific annotation projects for AI training, often on a contractual basis. Data Labelers focus on labeling data to enhance machine learning models, typically performing similar tasks. Both roles require attention to detail and are used in AI/ML industries, but Contract Data Annotation emphasizes project-based work with defined deliverables.

Is data annotation still hiring?

Data annotation roles are currently in demand as companies continue to develop AI and machine learning models. Many positions are available for remote work, often requiring basic computer skills and attention to detail, with some roles offering flexible schedules. Job availability can vary by industry and region, so checking specific job boards is recommended.

Is it hard to get hired for contract data annotation?

Contract data annotation jobs are generally accessible to individuals with basic computer skills and attention to detail. The hiring process often involves completing a skills test or sample annotation task, and some roles may require familiarity with specific tools or platforms. Competition can vary depending on the demand and the company's requirements, but many positions are available for entry-level candidates.

What are the most commonly searched types of Data Annotation jobs in Tulsa, OK?

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The top searched job categories for Contract Data Annotation jobs in Tulsa, OK are:

What cities near Tulsa, OK are hiring for Contract Data Annotation jobs?

Cities near Tulsa, OK with the most Contract Data Annotation job openings:

Contract Data Annotation jobs near you

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

Risedatalabs

Tulsa, OK • On-site

$90 - $130/hr

Other

Posted yesterday

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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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