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Remote Data Jobs in Eugene, OR (NOW HIRING)

micro1 AI

Private Funds Attorney - Remote

Eugene, OR · Remote

$90 - $130/hr

Remote We are seeking seasoned Funds Attorneys for a part-time role at the forefront of legal AI ... Collaborate with product and research teams to refine data, guidelines, and best practices for AI ...

micro1 AI

M&A Attorney - AI Trainer - Remote

Eugene, OR · Remote

$90 - $130/hr

Remote We are seeking seasoned M&A attorneys for a part-time role at the forefront of legal AI ... Collaborate with product and research teams to refine data, guidelines, and best practices for AI ...

COMAGINE HEALTH

Project Coordinator I

Eugene, OR · Remote

Project Coordinator I Full-Time | Remote | United States Why Comagine Health? At Comagine Health ... Maintain file-sharing platforms and perform data entry and data management. What Will Make You ...

Cramer Fish Sciences

Senior Biologist

Eugene, OR · On-site +1

$80K - $100K/yr

Manage and analyze field and remote sensing data using GIS, R and other statistical packages. * Work closely with interdisciplinary positions to develop project reports including technical, writing ...

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All JobsData JobsRemote Data JobsRemote Data Jobs in Eugene, OR

Remote Data information

See Eugene, OR salary details

$46.2K

$165.7K

$244.6K

How much do remote data jobs pay per year?

As of Jul 28, 2026, the average yearly pay for remote data in Eugene, OR is $165,730.00, according to ZipRecruiter salary data. Most workers in this role earn between $134,100.00 and $170,700.00 per year, depending on experience, location, and employer.

What are some common challenges faced when working as a Remote Data Analyst, and how can they be addressed?

Remote Data Analysts often face challenges such as maintaining effective communication with team members, managing access to secure data, and staying aligned with project goals across different time zones. These can be addressed by leveraging collaboration tools like Slack or Microsoft Teams, following strict data security protocols, and participating in regular virtual meetings to ensure everyone is on the same page. Proactive communication and strong organizational skills are key to thriving in a remote data role.

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

AspectRemote DataRemote Data Analyst
Required CredentialsBachelor's in Data Science, Computer Science, or related field; knowledge of databases and data toolsBachelor's in Data Science, Statistics, or related; proficiency in data analysis tools like Excel, SQL, and visualization software
Work EnvironmentRemote, often independent, with collaboration via online platformsRemote, involves analyzing data sets, creating reports, and communicating findings
Employer & Industry UsageTech companies, finance, healthcare, and e-commerceBusiness, marketing, finance, and tech sectors

Remote Data generally refers to roles focused on managing and processing data, while Remote Data Analyst emphasizes analyzing data to generate insights. Both roles often require similar educational backgrounds and work remotely, but Data Analysts typically focus more on interpreting data and creating reports for decision-making.

How can I make 2000 a week working from home?

Remote data roles such as data analyst or data scientist can offer high earning potential, with experienced professionals earning $2,000 or more weekly through project-based work, consulting, or full-time employment. Building skills in data analysis tools, programming languages, and obtaining relevant certifications can help increase earning capacity, especially when working independently or in specialized niches.

Are there real remote data entry jobs?

Yes, remote data entry jobs are available and involve inputting information into digital systems from home. These roles typically require basic computer skills, attention to detail, and sometimes familiarity with spreadsheet or database software. Legitimate positions are often posted on reputable job boards and do not require upfront fees.

How to make $1000 a week remotely?

Remote data roles such as data analyst or data scientist can generate $1000 or more weekly with experience, strong analytical skills, and proficiency in tools like Excel, SQL, or Python. Achieving this income often involves freelance projects, contract work, or full-time positions with high pay rates, and may require certifications or specialized knowledge in data management and analysis.

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

To thrive as a Remote Data Analyst, you need strong analytical skills, proficiency in statistics, and a background in data science or a related field. Familiarity with data analysis tools such as Python, R, SQL, and platforms like Tableau or Power BI, along with relevant certifications, is typically required. Excellent self-motivation, time management, and communication skills help you stand out in a remote environment. These capabilities are crucial for delivering accurate insights, collaborating effectively from a distance, and meeting business objectives efficiently.

Is 40 too late for data science?

Age is not a barrier to entering data science, and many professionals start or transition into the field later in life. Success depends on acquiring relevant skills such as programming, statistics, and machine learning, often through online courses or certifications, regardless of age.

What are remote data jobs?

Remote data jobs are positions that involve collecting, analyzing, managing, or interpreting data while working from a location outside the traditional office environment. These roles can include data analysts, data scientists, data entry specialists, and database administrators, among others. Remote data professionals use online tools and platforms to access and process data, collaborate with teams, and deliver insights or reports. This flexible work arrangement allows individuals to contribute to data-driven projects from anywhere with an internet connection.
What are the most commonly searched types of Data jobs in Eugene, OR? The most popular types of Data jobs in Eugene, OR are:
What are popular job titles related to Remote Data jobs in Eugene, OR? For Remote Data jobs in Eugene, OR, the most frequently searched job titles are:
What job categories do people searching Remote Data jobs in Eugene, OR look for? The top searched job categories for Remote Data jobs in Eugene, OR are:
What cities near Eugene, OR are hiring for Remote Data jobs? Cities near Eugene, OR with the most Remote Data job openings:
Remote Data jobs near you
Infographic showing various Remote Data job openings in Eugene, OR as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $165,730 per year, or $79.7 per hour.
Maps Quality Rater - English Fluency

Maps Quality Rater - English Fluency

Welo Data

Eugene, OR • Remote

$20.30/hr

Full-time

Posted 21 days ago

Job description

Job Title: Maps Quality Rater - English Fluency

What if your everyday search experience could help improve the accuracy and relevance of personalized recommendations used by millions of people worldwide?

WHAT YOU’LL DO

  • Review personalized search queries and location recommendations based on your activity history
  • Evaluate the relevance and usefulness of suggested places, such as restaurants and local businesses

YOU ARE A FIT IF YOU’RE…

  • Located in the United States and fluent in English
  • An active Gmail user with prior Google Maps usage history

PROJECT DETAILS

  • Location: Remote (United States)
  • Employment Type: Freelance
  • Language: English (Fluent)
  • Estimated Commitment: 8–10 hours

BENEFITS

  • $20.30 USD per hour
  • Fully remote and flexible work arrangement

Working at Welo Data

What to expect from working at Welo Data

From Welo Data

About Welo Data, in their own words

From Welo Data

Welo Data is a global AI data services company powering the next generation of AI. We build, annotate, and validate the training datasets that make AI models accurate, safe, and ready for the real world — across languages, cultures, and domains.

Our team of experts spans the globe, combining deep technical knowledge with a human-centered approach. If you want your work to shape how AI understands the world, you'll find your place here.

Diversity and inclusion statement

From Welo Data

Our Strength is derived from Winning Together. Welo Data is unequivocally committed to developing and fostering a workplace and organizational culture that values the diversity of thought and perspective delivered by a diverse global workforce operating within an inclusive organization.