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Remote Data Labeling Analyst Jobs in Lewiston, ME

Wood Plc

GIS Analyst

Portland, ME · Remote

Perform GIS database development, qualitative/quantitative analysis, and mapping as a member of a ... programs for data collection, engineering, and environmental applications #LI-Remote Skills ...

Arkatechture

Lead Analyst

Portland, ME · On-site +1

A flexible remote work policy with optional access to our Portland, Maine office * A 4-day workweek ... The Position Arkatechture is seeking a Lead Analyst, Data & Analytics to serve as a senior ...

Arkatechture

Technical Lead, Data Analytics

Portland, ME · On-site +1

The Opportunity As the Technical Lead, Data Analytics , you'll serve as the senior technical expert ... Flexible remote work with optional access to our Portland, Maine office * Four-day work week after ...

Demand.com

Marketing Director (Remote)

Portland, ME · Remote

DemandFactor is a data-driven B2B growth and demand-generation company helping brands find, engage ... Manage marketing KPIs, analytics, attribution, and budget * Build and grow the marketing team What ...

Dutch

Virtual Care Veterinarian (Remote)

Portland, ME · Remote

$50 - $80/hr

... reviewing applications, analyzing resumes, or assessing responses and identifying potential ... If you would like more information about how your data is processed, please contact us. apply for ...

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All JobsData Labeling Analyst JobsRemote Data Labeling Analyst JobsRemote Data Labeling Analyst Jobs in Lewiston, ME

Remote Data Labeling Analyst information

See Lewiston, ME salary details

$35.6K

$86.5K

$142.4K

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

As of Jul 29, 2026, the average yearly pay for remote data labeling analyst in Lewiston, ME is $86,502.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,400.00 and $101,500.00 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.

Remote Data Labeling Analyst jobs near you
Infographic showing various Remote Data Labeling Analyst job openings in Lewiston, ME as of July 2026, with employment types broken down into 68% Full Time, 8% Part Time, and 24% Contract. Highlights an 60% Physical, 5% Hybrid, and 35% Remote job distribution, with an average salary of $86,502 per year, or $41.6 per hour.

Google Data Analytics Expert : REMOTE POSITION.

Software People, Inc.

Augusta, ME • Remote

Contractor

Re-posted 9 days ago

Job description

Please Let me know your Interest and Rate for this position.

Phone/Skype Hire. Remote

Location: REMOTE

Duration: 12+ months

This position is part of the Enterprise Data Services group and will work with the Digital Services program within the Office of Information Technology. The Digital Services program is essential for designing and overseeing the implementation of a customer-centric online application to simplify State government and digital services. While working alongside vendor contractors and the Digital Service program team, you will be relied upon for all aspects of data analysis and exploration while providing valuable analytical insights to support department initiatives and assist in making data-driven program decisions. This position will able be responsible for incorporating a repository of data from the online application into an existing warehouse and presenting data in PowerBI dashboards and reports.

Responsibilities  

  • Analyze and understand State requirements.
  • Participate as subject matter expert of source data, develop data catalogue, and perform user acceptance testing for Digital Services program.
  • Provide expertise for data sharing, data visualization, and understand, configure, and enforce access rules.
  • Understand KPIs and present related data in a meaningful way.
  • Help establish frequency and schedule of data extraction, review data quality, and adhere to transformation rules.
  • Develop reports, dashboards, and visualize data in a meaningful way based on given requirements.
  • Participate in project briefing and brainstorming.
  • Using detailed and general knowledge of the end-to-end workings of how systems work, assist in any testing, trouble-shooting, and help implement fixes to resolve poorly functioning processes.
  • Assist in solution documentation, diagrams, and technical specifications.

Skills Needed

  • Google Analytics experience.
  • Experience extracting data from source system to target data warehouse.
  • Expert knowledge of Power BI data visualization and analysis tools.
  • Five+ years of relevant experience in the following:

o             Extracting data from source system to target data warehouse.

o             Data analysis, quality, and reporting.

•             Expert knowledge of Power BI data visualization and analysis tools.

•             Ability to read and follow regulatory requirements on State and Federal levels.

•             Strong information architecture and integration strategy skills.

•             Excellent communication and interpersonal skills.

•             Ability to work independently and as part of a team.