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Data Annotation Program Manager Jobs in Arkansas

Program Management, Software Development, Hadoop/Hive/Spark/Big-Data Technologies JOB RESPONSIBILITIES: Coordinates projects and ensures company resources are utilized appropriately. Compiles project ...

The Program Manager is a strategic leader responsible for the end-to-end execution, financial ... Translate technical and financial data into executive-level insights * Drive accountability and ...

The Program Manager is a strategic leader responsible for the end-to-end execution, financial ... Translate technical and financial data into executive-level insights * Drive accountability and ...

Senior Program Manager

Lowell, AR · On-site

$83K - $117K/yr

Program Manager The Program Manager leads strategic programs through the New Product Introduction ... Define problems, collect and analyze data, establish facts, and draw valid conclusions to support ...

Senior Program Manager

Lowell, AR

$102K - $102K/yr

Program Manager The Program Manager leads strategic programs through the New Product Introduction ... Define problems, collect and analyze data, establish facts, and draw valid conclusions to support ...

This position will work with the staff to provide monthly standard reports on study progress and develop preliminary reports of the study data. The Research Program Manager will help develop ...

You will help operationalize data quality, governance, and platform capabilities into workflows ... technical program management, product management, or related area. • Option 2: 7 years ...

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Data Annotation Program Manager information

What are the key skills and qualifications needed to thrive as a Data Annotation Program Manager, and why are they important?

To thrive as a Data Annotation Program Manager, you need expertise in project management, data quality assessment, and a solid understanding of machine learning or data annotation processes, typically supported by a relevant degree. Familiarity with annotation platforms, workflow management tools, and data labeling software is essential, along with knowledge of quality assurance frameworks. Strong leadership, problem-solving abilities, and effective communication are crucial soft skills that help manage diverse teams and ensure stakeholder alignment. These skills are important to maintain high data quality, meet project deadlines, and drive successful AI model training initiatives.

How does a Data Annotation Program Manager coordinate with cross-functional teams to ensure project success?

A Data Annotation Program Manager regularly collaborates with engineering, data science, and quality assurance teams to align annotation guidelines, project timelines, and quality standards. They often facilitate meetings to clarify requirements, resolve ambiguities in data labeling, and provide feedback on annotation accuracy. This role serves as a bridge between technical teams and annotation staff, ensuring open communication and timely resolution of challenges, which is critical for delivering high-quality datasets essential for machine learning and AI projects.

What are Data Annotation Program Managers?

Data Annotation Program Managers are professionals who oversee and coordinate data labeling projects, ensuring that data used for machine learning and artificial intelligence is accurately tagged and prepared. They manage teams of annotators, set project guidelines, monitor quality, and ensure deadlines are met. Their role is crucial for building high-quality datasets that enable reliable AI model training. Program Managers often collaborate with data scientists, engineers, and stakeholders to define requirements and improve annotation processes.
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Program Manager

Program Manager

Apex Informatics

Bentonville, AR • On-site

Contractor

Posted 26 days ago


Job description

Role:-Program Manager
Location: Bentonville, AR (Hybrid)
Term: 6+ Months Contract
Primary Skills: Program Management, Software Development, Hadoop/Hive/Spark/Big-Data Technologies
JOB RESPONSIBILITIES:
Coordinates projects and ensures company resources are utilized appropriately.
Compiles project status reports, coordinates project schedules, manages project meetings, and identifies and resolves technical problems.
Identifies and analyzes systems requirements and defines project scope, requirements, and deliverables.
Coordinates project activities and ensures all project phases are documented appropriately.