2

Remote Data Labeling Analyst Jobs in Cleveland, OH

Data Analyst III

Cleveland, OH · On-site +1

$52K - $101K/yr

The Business Analyst 3 provides advanced support for assigned business process and/or system within ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

This remote role may require occasional travel to client sites located in Ohio, Pennsylvania ... Experience using Excel for data analysis, including vlookups, xlookups and pivot tables * Ability ...

Data Engineer (Remote)

Cleveland, OH · Remote

$111K - $133K/yr

We're looking for a Data Engineer to join our Data & Analytics team and take ownership of the data infrastructure that powers internal analytics, reporting, and operational insights. This is a ...

Monday - Friday 8am - 5pm (Onsite 4 days a week) (Possible remote for the right candidate) Position Summary: The Staff Data Scientist will be a key role in the Data Science and Analytics team tasked ...

Monday - Friday 8am - 5pm (Onsite 4 days a week) (Possible remote for the right candidate) Position Summary: The Staff Data Scientist will be a key role in the Data Science and Analytics team tasked ...

Process analysis and design * Systems architecture Necessary competencies: * Critical thinking ... If fully remote: must be willing to travel * This position will require the ability to work ...

AlloBaas - Data Engineer II

Lakewood, OH · On-site +1

$103K - $123K/yr

Process analysis and design * Systems architecture Necessary competencies: * Critical thinking ... If fully remote: must be willing to travel * This position will require the ability to work ...

Position is currently remote but may work at or visit a facility based on business need. This ... analytics solutions. These solutions will generate insights from the connected data within the ...

next page

Showing results 1-20

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 Aug 23, 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 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 are the key skills and qualifications needed to thrive as a remote data labeling analyst?

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 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 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:

Infographic showing various Remote Data Labeling Analyst job openings in Cleveland, OH as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $80,147 per year, or $38.5 per hour.

Sr. Data Governance Analyst

MM International

Cleveland, OH • Remote

Contractor

Re-posted 13 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.