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Data Labeler Remote Jobs in Minnesota (NOW HIRING)

Pace

Part time (PRN) SDS Author (Remote)

Minneapolis, MN · On-site +1

$35 - $40/hr

Research, author, and review chemical hazard assessments, hazard profiles, product labels, safety data sheets, and other compliance support as requested. Compensation: $35.00 - 40.00 per hour NOTE:

Lancesoft

Imaging Tech II - Non-Exempt

MN · On-site +1

$38 - $43/hr

Data Annotation * ECG Nice to Have: * IBHRE certification HM's Top Needs: * CCI CRAT or CCT ... The role is 100% remote with a hybrid option available if requested. Specialist Career Stream:

All JobsData Labeler JobsData Labeler Remote JobsData Labeler Remote Jobs in Minnesota

Data Labeler Remote information

Is data labelling a good career?

Data labeling is an entry-level role that involves annotating data for machine learning models, often requiring attention to detail and basic technical skills. It can provide a stepping stone into the tech industry, but it typically offers limited advancement opportunities and lower pay compared to more specialized roles. Many professionals use it as initial experience before moving into data science or related fields.

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

To thrive as a Data Labeler Remote, you need strong attention to detail, basic data analysis skills, and familiarity with data annotation processes, often supported by a high school diploma or equivalent. Proficiency with labeling platforms, annotation tools, and sometimes knowledge of spreadsheet software are typically required. Reliability, time management, and effective communication are crucial soft skills for maintaining accuracy and meeting project deadlines in a remote setting. These skills ensure high-quality, consistent labeled data, which is essential for training reliable machine learning models.

How can I make 2000 a week working from home?

A remote data labeler can potentially earn around $2000 per week by working full-time hours, often 40 hours or more, and gaining experience or specializing in high-demand data annotation tasks. Increasing earnings may involve working for multiple clients, improving skills with annotation tools, or taking on higher-paying projects, but consistent high weekly income depends on workload, rates, and efficiency.

What are some common challenges faced by remote data labelers and how can they be managed?

Remote data labelers often encounter challenges such as maintaining focus during repetitive tasks, ensuring consistent annotation quality, and communicating effectively with distributed teams. To manage these, it's helpful to establish a structured work routine, take regular breaks to prevent fatigue, and use annotation guidelines provided by employers. Leveraging collaboration tools for feedback and clarification also helps maintain high-quality output and fosters a sense of connection with team members.

What does a remote data labeler do?

A remote data labeler is responsible for annotating or tagging data—such as images, videos, audio, or text—from a remote location, typically working from home. Their work helps train machine learning models by providing accurate, labeled datasets that algorithms use to learn and make predictions. Data labelers follow specific guidelines to ensure consistency and accuracy, and may use specialized software tools to complete their tasks. This role is essential in industries like artificial intelligence, self-driving cars, and natural language processing. Remote data labelers often work as freelancers or as part of distributed teams for tech companies.

What is the difference between Data Labeler Remote vs Data Annotator Remote?

AspectData Labeler RemoteData Annotator Remote
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote, flexible hoursRemote, flexible hours
Industry UsageCommon in AI/ML data preparationCommon in AI/ML data preparation
Job FocusLabeling data points for machine learningAnnotating data for training AI models

Both Data Labeler Remote and Data Annotator Remote roles involve preparing data for AI and machine learning projects. While the terms are often used interchangeably, Data Labeler Remote typically emphasizes labeling data points, whereas Data Annotator Remote may include more detailed annotation tasks. Both roles require similar skills and are performed remotely, making them accessible for individuals seeking flexible data-related jobs.

How much are data labelers paid?

Data labelers working remotely typically earn between $10 and $20 per hour, depending on experience, complexity of tasks, and the company. Some positions may offer project-based pay or bonuses for accuracy and efficiency.

Is data labeling work from home?

Data labelers often work remotely, as the job typically involves reviewing and annotating data using a computer and internet connection. Many companies offer remote data labeling positions with flexible schedules, requiring basic computer skills and attention to detail.
What are the most commonly searched types of Data Labeler jobs in Minnesota? The most popular types of Data Labeler jobs in Minnesota are:
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Data Labeler Remote jobs near you
Infographic showing various Data Labeler Remote job openings in Minnesota as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Part time (PRN) SDS Author (Remote)

Pace

Minneapolis, MN • On-site, Remote

$35 - $40/hr

Part-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 9 days ago

Job description

Shift:
Monday through Friday, 8:00AM - 5:00PM with some flexibility
Are you ready to work making the world a safer, healthier place? Join our mission to continuously move science forward; to innovate and advance all aspects of our business to improve the health and safety of our communities and lives.
Provide SDS authoring and regulatory compliance support as it applies to our client's products. Research, author, and review chemical hazard assessments, hazard profiles, product labels, safety data sheets, and other compliance support as requested.
Compensation: $35.00 - 40.00 per hour
NOTE: Position is PRN with weekly hours expected to be around 20 per week
What You'll Do:
  • Author safety data sheets, both U.S. and international SDS experience preferred
  • Review/author hazard communication and other product labels
  • Regulatory literature/data reviews of products and raw materials
  • Other regulatory compliance projects as needed

What You'll Bring:
  • Bachelor's degree or higher in Chemistry
  • 5+ years of experience in chemical regulatory, including SDS authoring
  • Ability to interpret global product regulatory and hazard communication concepts
  • Working knowledge of GHS, OSHA, Prop65, TSCA, and other applicable regulations
  • Consumer label experience is a plus
  • Independently works within specific computer systems and databases
  • Can manage multiple client projects, including set up, data collection, and on-time delivery of requested deliverables
  • Excellent written and verbal communication skills with experience working in a client facing role

Find Your Place at Pace - We need you - your curiosity, your talents, and your drive - to help us advance this important work.
Benefits
When you join Pace®, you commit to work that makes a positive impact on our communities and our world. We commit to supporting you with benefits and perks that make a positive impact on your life. Full-time roles are eligible for our comprehensive benefits program which includes competitive salaries, medical, dental vision, 401K retirement savings plan (100% vested immediately in the employer match), life, disability and voluntary benefits, paid time off for holiday, sick and vacation days, HSA, wellness program, flexible spending accounts, tuition reimbursement, Employee Assistance program, parental leave, optional legal coverage and ID theft.
Equal Opportunity Employer
Pace® provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, creed, color, religion, genetics, protected veteran status, national origin, sex, age, disability, marital status, sexual orientation, gender identity or expression, citizenship, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

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