ZipRecruiter

Log In

2

Remote Data Labeling Analyst Jobs in Cleveland, OH

My3Tech Inc

Data Analyst

Independence, OH · Remote

This role is critical to managing data conversion and transformation efforts across multiple global ... Additional Skills : Long Term Contract 100% Remote Background Check : Yes Drug Screen : Yes Notes

Progressive

Data Analyst Senior

Cleveland, OH · Remote

$81.40K - $108.50K/yr

As a senior data analyst on the Claims Control Staffing team, you'll serve as a subject matter ... Remote work allowed. Must-have qualifications * A minimum of six years of analytical work ...

New

next page

Showing results 1-20

People also search for

All JobsRemote Data Labeling Analyst JobsRemote Data Labeling Analyst Jobs in Cleveland, OH

Remote Data Labeling Analyst information

See Cleveland, OH salary details

$33K

$80.1K

$131.9K

How much do remote data labeling analyst jobs pay per year?

As of May 28, 2026, the average yearly pay for remote data labeling analyst in Cleveland, OH is $80,147.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,600.00 and $94,100.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Data Labeling Analyst, and why are they important?

To thrive as a Remote Data Labeling Analyst, you need strong attention to detail, analytical thinking, and basic data management skills, typically supported by a high school diploma or higher. Familiarity with annotation tools, data labeling platforms, and sometimes basic programming or spreadsheet software is required. Strong communication, time management, and the ability to work independently are crucial soft skills for excelling remotely. These abilities ensure high-quality, accurate data labeling that directly impacts the effectiveness of AI and machine learning systems.

What are some common challenges faced by Remote Data Labeling Analysts, and how can they be addressed?

Remote Data Labeling Analysts often encounter challenges such as maintaining focus during repetitive tasks, managing time effectively across multiple projects, and ensuring high accuracy in labeling complex data sets. To address these challenges, it is helpful to follow structured workflows, take regular breaks to reduce fatigue, and leverage collaboration tools to communicate with team members for clarification or feedback. Staying updated with labeling guidelines and participating in regular training sessions can also help improve both productivity and quality of work.

What does a Remote Data Labeling Analyst do?

A Remote Data Labeling Analyst is responsible for reviewing, tagging, and annotating data—such as images, videos, text, or audio—to help train machine learning models. Working remotely, they use specialized software to classify or categorize this data according to specific guidelines. Their work is crucial for improving the accuracy and performance of artificial intelligence systems, as well-labeled data enables the AI to learn and make better predictions. This role typically requires attention to detail, consistency, and the ability to follow complex instructions.

What is the difference between Remote Data Labeling Analyst vs Remote Data Annotator?

AspectRemote Data Labeling AnalystRemote Data Annotator
CredentialsBasic data labeling skills, familiarity with annotation toolsSimilar credentials, often entry-level
Work EnvironmentRemote, often part of a data teamRemote, typically individual tasks
Industry UsageUsed across AI, machine learning, and data science companiesCommon in AI training data preparation
Job FocusLabeling and categorizing data for machine learningAnnotating data with labels or tags

The Remote Data Labeling Analyst and Remote Data Annotator roles are similar, both involving data labeling tasks in a remote setting. The Analyst may have additional responsibilities like quality checks or data management, but both positions require similar skills and are used widely in AI and machine learning industries.

What are the most commonly searched types of Data Labeling Analyst jobs in Cleveland, OH? The most popular types of Data Labeling Analyst jobs in Cleveland, OH are:
What are popular job titles related to Remote Data Labeling Analyst jobs in Cleveland, OH? For Remote Data Labeling Analyst jobs in Cleveland, OH, the most frequently searched job titles are:
What job categories do people searching Remote Data Labeling Analyst jobs in Cleveland, OH look for? The top searched job categories for Remote Data Labeling Analyst jobs in Cleveland, OH are:
What cities near Cleveland, OH are hiring for Remote Data Labeling Analyst jobs? Cities near Cleveland, OH with the most Remote Data Labeling Analyst job openings:
Remote Data Labeling Analyst jobs near you
Sr. Data Governance Analyst

Sr. Data Governance Analyst

MM International

Cleveland, OH • Remote

Contractor

Posted 16 days ago

Job description

Job Name: Sr. Data Governance Analyst
Location: 100% Remote

Duration: 6-12 plus months


Experience Required:

  • Sr Analyst role with minimum 8+ years of experience in data management, technology risk, or cyber risk management.
  • Experience with second-line risk functions or data governance roles within financial services

Preferred Experience, Qualifications & Skills:

  • Strong familiarity with the Data Management Capability Assessment Model (DCAM) framework.
  • Deep understanding of data governance principles and regulatory expectations.
  • Strong analytical and critical thinking skills.
  • Excellent communication and stakeholder engagement abilities.
  • Experience working in cross-functional teams and managing competing priorities.
  • Certifications (any): Data Management Capability Assessment Model (DCAM), Cloud Data Management Capabilities (CDMC), Certified Information Systems Security Professional (CISSP), Governance, Risk and Compliance Certification (CGRC), Information Systems Management Professional (ISSMP), Certified Information Systems Auditor (CISA), Certified Information Security Manager (CISM), Certified in Risk and Information Systems Control (CRISC), Certified Data Privacy Solutions Engineer (CDPSE), Certified in the Governance of Enterprise IT (CGEIT)

 

Key Responsibilities: The contractor(s) will support ongoing Business-As-Usual (BAU) activities within the Data Governance and Risk Oversight function, including:

  1. Review and Challenge of First Line Data Governance Program Deliverables
    • Evaluate remediation plans and deliverables.
    • Provide independent challenge to ensure alignment with enterprise data governance standards and regulatory expectations.
  2. Issue Verification Related to Data Issues
    • Conduct verification activities for data-related issues to confirm effective remediation.
    • Collaborate with first-line teams to assess root cause analysis and sustainability of fixes.
  3. Risk and Control Evaluation
    • Assess data-related risks and evaluate the design and effectiveness of associated controls.
    • Support risk assessments and control testing activities as needed.
  4. Metric Calculation and Review
    • Assist in the calculation of key data risk and control metrics.
    • Review and challenge metric methodologies and results to ensure accuracy and relevance.