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Remote Data Annotation Specialist Jobs in Iowa (NOW HIRING)

Urbandale, IA * Lincoln, NE Alternatively, this position can be fully remote, but only for a ... Correctly enters claim data into claim and related systems for reporting purposes. * Confers with ...

Urbandale, IA * Lincoln, NE Alternatively, this position can be fully remote, but only for a ... Correctly enters claim data into claim and related systems for reporting purposes. * Confers with ...

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Remote Data Annotation Specialist information

What is a remote data annotation specialist?

Remote Data Annotation Specialists are professionals who label, tag, or categorize data—such as images, text, audio, or video—for use in machine learning and artificial intelligence projects. They work remotely, using specialized software tools to ensure data is accurately annotated according to project guidelines. Their work helps improve the performance of AI systems by providing high-quality, labeled datasets that algorithms can learn from. This role often requires attention to detail, basic technical skills, and the ability to follow instructions carefully.

What skills and qualifications are needed to thrive as a remote data annotation specialist?

To thrive as a Remote Data Annotation Specialist, you need strong attention to detail, familiarity with data labeling guidelines, and a basic understanding of data structures, often supported by a high school diploma or relevant training. Experience with annotation platforms, data management tools, and sometimes basic scripting languages is typically required. Excellent time management, communication skills, and the ability to work independently help individuals excel in this remote role. These skills ensure high-quality, consistent, and efficient data labeling, which is critical for training accurate machine learning models.

What challenges do remote data annotation specialists face, and how can they be managed?

Remote Data Annotation Specialists often encounter challenges such as maintaining focus during repetitive tasks, ensuring consistency across large datasets, and managing tight deadlines. To overcome these, it's helpful to establish a structured work schedule, take regular breaks, and utilize annotation guidelines provided by the employer. Collaborative tools and periodic check-ins with team leads or peers can also help clarify questions and maintain quality standards, ensuring annotation accuracy and productivity.

What is the difference between Remote Data Annotation Specialist vs Remote Data Labeler?

AspectRemote Data Annotation SpecialistRemote Data Labeler
CredentialsHigh school diploma or equivalent; attention to detailHigh school diploma or equivalent; attention to detail
Work EnvironmentRemote, often part of AI/ML teamsRemote, typically freelance or contract-based
Industry UsageAI, machine learning, autonomous vehiclesAI, machine learning, computer vision
Common Search IntentUnderstanding roles, job requirements, and career pathFinding entry-level or freelance annotation jobs

The Remote Data Annotation Specialist and Remote Data Labeler roles both involve labeling data for AI and machine learning projects. However, the Specialist often performs more complex annotations and may work within a team, while the Labeler typically handles simpler tasks independently. Both roles require attention to detail and are common in AI industries, but the Specialist may have more responsibilities and slightly higher skill expectations.

What are popular job titles related to Remote Data Annotation Specialist jobs in Iowa?

For Remote Data Annotation Specialist jobs in Iowa, the most frequently searched job titles are:

What job categories do people searching Remote Data Annotation Specialist jobs in Iowa look for?

The top searched job categories for Remote Data Annotation Specialist jobs in Iowa are:

What cities in Iowa are hiring for Remote Data Annotation Specialist jobs?

Cities in Iowa with the most Remote Data Annotation Specialist job openings:

Data Operations Specialist

Dubuque, IA • On-site, Remote

Full-time

Posted 19 days ago


Job description

The Data Operations Specialist advances the Credit Union’s data capabilities by strengthening governance, improving team operating processes, and ensuring trusted data is delivered through reliable, well-managed releases. This role partners to uphold data standards, manage intake and prioritization, monitor data quality, and maintain clear visibility into work, capacity, and release readiness. Through disciplined process management and a focus on continuous improvement, this position helps to ensure data assets are accurate, compliant, and ready to support informed decision-making and member value.

#DupacoDifference.  https://www.youtube.com/watch?v=Oy_rZxNXcC8

Dupaco Values:

Demonstrates Dupaco Values: Rooted in Trust, Empathetic Understanding, Strengthening Relationships, Advocate for All and Invest in You

You’ll be:

Data Governance and Process Operations Support

  • Support the data governance framework to ensure adherence to data standards, policies, and best practices.
  • Complete governance reviews, managed approvals process and perform compliance tracking.
  • Partner with Data Architecture and the Data Governance Program Manager to maintain consistent data definitions, standards, and lineage.

Data Team Process Execution

  • Partner with Data Team leadership to Design, implement, and improve team operating processes.
  • Align team processes with enterprise standards where applicable.
  • Administer and optimize Jira for the Data & Analytics team.
  • Define and enforce standards for tracking work, releases, and incidents.
  • Report on team performance, throughput, and bottlenecks.

Data Quality and Standards Assurance

  • Facilitate quality assurance reviews to confirm production adherence to data standards.
  • Establish and monitor data quality controls and validation practices.
  • Identify, triage, and coordinate resolution of data quality issues.
  •  Verify certification and trust requirements before data asset  

Intake and Work Management

  • Manage intake for data requests, enhancements, and projects.
  • Triage incoming work to support prioritization and timely action.
  •  Maintain visibility into pipelines, priorities, and capacity.

Release Management

  • Manage the release lifecycle for data pipelines, models, and BI assets.
  • Facilities the production readiness validation and sign-off.
  • Ensure versioning, documentation, and rollback procedures are maintained.
  • Perform other duties as assigned.

You’ll need:

  • Bachelor’s degree in Computer Science, Computer Information Systems or equivalent experience.
  • 3+ years in data operations, data management or related field.
  • Proficient writing SQL queries.
  • Experience working with an ETL (Extract, Transform, Load) tool, strongly preferred.
  • Experience in Snowflake cloud data platform, including performance optimization and security.
  • Experience pulling data from API’s, preferred.
  • Ability to work with both structured and semi-structured data.
  • Ability to solve complex problems.
  • Strong interpersonal and communication (verbal & written) skills.

*This role does not allow for remote work outside of Dubuque, IA and the selected candidate must reside or relocate to this area.