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Remote Data Labeling Analyst Jobs in Oregon (NOW HIRING)

Five9

Data Center Engineer (in Atlanta, GA)

OR · On-site +1

He/she exhibits a deep understanding of data center technologies, strong analytical and ... Communicate and coordinate with remote hands in remote data centers, providing technical direction ...

Array

Senior Data Analyst

OR · On-site +1

$80/hr

Our private label offerings help drive revenue and increase engagement for our customers while ... As a remote-first company, we're focused on providing opportunities for high performing individuals ...

Aflac, Incorporated

Data Analyst

$52K - $80K/yr

If the role is remote, there may be occasions that you are requested to come to the office based on ... Analysis Tools. • Data Trend Analysis & Interpretation. • Business Performance Analysis ...

Parachute Health

Lead Data Analyst

OR · On-site +1

$160K - $200K/yr

About the Role The Lead Data Analyst is the senior individual contributor on our Data Analytics ... We are remote-first with a dedicated NYC office and reimbursement options for co-working spaces.

Upstart

Data Analyst, Home Lending

OR · On-site +1

The Data Analyst, Home Lending role will be critical in strengthening our first-line secured ... Remote Travel requirements As a digital first company, the majority of your work can be ...

Tempus

Senior Data Analyst

OR · On-site +1

$90K - $125K/yr

We're looking for an experienced Senior Data Analyst to help us design and execute on clinical ... Additionally, for remote roles open to individuals in unincorporated Los Angeles - including remote ...

Aflac, Incorporated

Sr Data Analyst

$70K - $105K/yr

Opportunity: Sr Data Analyst Salary Range: $70,000 - $105,000 Division: Digital Services Recruiter ... If the role is remote, there may be occasions that you are requested to come to the office based on ...

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Remote Data Labeling Analyst information

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 popular job titles related to Remote Data Labeling Analyst jobs in Oregon?

For Remote Data Labeling Analyst jobs in Oregon, the most frequently searched job titles are:

What job categories do people searching Remote Data Labeling Analyst jobs in Oregon look for?

The top searched job categories for Remote Data Labeling Analyst jobs in Oregon are:

What cities in Oregon are hiring for Remote Data Labeling Analyst jobs?

Cities in Oregon with the most Remote Data Labeling Analyst job openings:

Remote Data Labeling Analyst jobs near you

Flexible remote AI work. Your schedule. Paid weekly, straight to your bank account.

Meridian.ai

West Linn, OR • Remote

Full-time

Posted 17 days ago

Job description

What You'll Do

Review and label digital content including text, images, and documents. Every task you complete helps improve how technology interprets information and performs in practical settings.

Who We're Looking For

Detail-oriented individuals who take quality seriously and can follow detailed instructions consistently. Strong readers and writers with good judgment are a great fit. Prior experience in data labeling, annotation, research, writing, or operations is helpful but not required.

Requirements
  • Strong attention to detail
  • Clear written communication skills
  • Reliable internet connection and computer
  • Ability to work independently and meet deadlines
  • Basic familiarity with web-based tools or online forms
What We Offer
  • Remote, flexible contract work
  • Clear guidelines and training
  • Performance feedback and opportunities to grow
  • A mission-driven team focused on accuracy and quality

Ready to apply? Join a team helping build the data foundation behind better technology.

Workada is an Equal Opportunity Employer.

Apply