2

Remote Data Conversion Jobs in Chicago, IL (NOW HIRING)

Senior Data Scientist

Chicago, IL · On-site +1

$201K - $248K/yr

This is a remote role with a strong preference for candidates based in SF or NYC . You will report ... Experience partnering closely with Sales/GTM teams (pipeline, conversion, pricing, prospecting ...

Sr. Project Manager

Chicago, IL · On-site +1

$100K - $130K/yr

Remote - Chicago, Dallas, Atlanta, or Lincoln (Nebraska) This role is aligned to our hub locations ... Partner with cross-functional teams including Consulting, Data Conversion, Product, Development ...

Sr. Project Manager

Chicago, IL · On-site +1

$100K - $130K/yr

Remote - Chicago, Dallas, Atlanta, or Lincoln (Nebraska) This role is aligned to our hub locations ... Partner with cross-functional teams including Consulting, Data Conversion, Product, Development ...

Remote - Chicago, Dallas, Atlanta, or Lincoln (Nebraska) This role is aligned to our hub locations ... Partner with cross-functional teams including Consulting, Data Conversion, Product, Development ...

Remote - Chicago, Dallas, Atlanta, or Lincoln (Nebraska) This role is aligned to our hub locations ... Partner with cross-functional teams including Consulting, Data Conversion, Product, Development ...

next page

Showing results 1-20

Remote Data Conversion information

See Chicago, IL salary details

$11.3K

$113.3K

$143.7K

How much do remote data conversion jobs pay per year?

As of Jul 30, 2026, the average yearly pay for remote data conversion in Chicago, IL is $113,315.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,600.00 and $139,100.00 per year, depending on experience, location, and employer.

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

To thrive as a Remote Data Conversion Specialist, you need strong analytical skills, attention to detail, and experience with data formats and database management—often supported by a degree in information technology or related fields. Familiarity with data conversion tools, ETL (Extract, Transform, Load) software, and spreadsheet or database systems like SQL is typically required. Excellent problem-solving abilities, time management, and clear communication skills help you efficiently resolve data inconsistencies and collaborate remotely. These skills ensure accurate, efficient data migration, which is crucial for maintaining data integrity and supporting business operations.

How can I make 2000 a week working from home?

Remote data conversion jobs can pay between $15 and $30 per hour, so earning $2000 weekly typically requires working around 67 hours at the higher end of this rate. To reach this income, strong attention to detail, proficiency with data tools, and consistent productivity are essential. Building a reputation and gaining experience can also lead to higher-paying opportunities or freelance projects.

How to make $1000 a week remote?

A remote data conversion specialist can earn $1000 or more weekly by completing high-volume projects, often requiring strong attention to detail and proficiency with data tools like Excel or specialized software. Building a reputation for accuracy and efficiency, along with consistent work and possibly multiple clients or platforms, can help achieve this income level.

Are Amazon data entry jobs real?

Amazon data entry jobs are legitimate positions that involve inputting and managing data using tools like spreadsheets and databases. These roles often require attention to detail and basic computer skills and are typically offered as remote or on-site opportunities. Job seekers should verify listings through official Amazon channels to avoid scams.

How to make $80,000 a year working from home?

A remote data conversion specialist can earn $80,000 annually by gaining strong data management skills, proficiency with relevant tools like Excel or specialized software, and maintaining consistent productivity. Building experience, obtaining certifications, and working for companies that offer competitive pay and remote roles are key factors in reaching this income level.

What are some common challenges faced in a remote data conversion role, and how can they be addressed?

One common challenge in remote data conversion is ensuring data accuracy while working independently, often with large and varied datasets. Maintaining consistent communication with team members and project managers is crucial to clarify data formats and address discrepancies. Utilizing standardized tools and adhering to strict data validation processes can help minimize errors. Additionally, remote collaboration tools and regular check-ins can support teamwork and help resolve technical issues more efficiently.

What are remote data conversion jobs?

Remote data conversion jobs involve transforming data from one format or system to another while working from a location outside of a traditional office. This can include converting paper documents into digital files, migrating data between software platforms, or cleaning and reformatting datasets for analysis. These roles typically require attention to detail, proficiency with data management tools, and strong computer skills. Remote data conversion professionals often work for companies needing to digitize records, update databases, or integrate new technology. The work can be project-based or ongoing, depending on the employer's needs.

What is the difference between Remote Data Conversion vs Remote Data Entry?

AspectRemote Data ConversionRemote Data Entry
Primary FocusTransforming data from one format to another, such as converting PDFs to ExcelInputting data into systems or databases accurately
Skills NeededData formatting, software proficiency, attention to detailTyping speed, accuracy, basic software skills
Work EnvironmentMostly independent, project-basedConsistent, repetitive tasks
Common CertificationsData management, software proficiencyNone typically required

Remote Data Conversion involves transforming data between formats, requiring technical skills and attention to detail. Remote Data Entry focuses on accurately inputting data into systems, often involving repetitive tasks. While both roles require accuracy, data conversion emphasizes technical transformation, whereas data entry emphasizes speed and precision in data input.

What are the most commonly searched types of Data Conversion jobs in Chicago, IL? The most popular types of Data Conversion jobs in Chicago, IL are:
What are popular job titles related to Remote Data Conversion jobs in Chicago, IL? For Remote Data Conversion jobs in Chicago, IL, the most frequently searched job titles are:
What cities near Chicago, IL are hiring for Remote Data Conversion jobs? Cities near Chicago, IL with the most Remote Data Conversion job openings:

Senior Data Scientist

Rundoo

Chicago, IL • On-site, Remote

$201K - $248K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 23 days ago


Job description

About Rundoo ℹ
Our mission is to empower independent supply stores with best-in-class technology. Think of your local hardware store or mom-and-pop nursery-these are our clients. From paint to lumber to flooring, over 200,000 such stores across the country sell over $1T of building materials annually using outdated, on-premises systems. We're aiming to help them modernize so that they can continue to thrive.
Backed by leading investors including Bessemer and CRV, we've raised $18M across three rounds and are growing quickly. Our team is made up of builders, sellers, and industry veterans with a shared goal: to bring modern technology to an overlooked industry.
About the role
You'll own data science at Rundoo end-to-end: turning ambiguous business questions into crisp scopes, delivering robust analysis on predictable timelines, and building lightweight internal systems so insights are reproducible (not just a one-off notebook). You'll be a thought partner to leaders across GTM, product, and finance - shaping the question as much as answering it - and proactively surfacing anomalies and opportunities as the business scales.
This is a remote role with a strong preference for candidates based in SF or NYC. You will report directly to the Head of Data Science.
What you'll do as an Data Scientist at Rundoo
  • Deliver high-trust analysis on clear timelines: stakeholders trust both the answer and the ETA; assumptions and limits are explicit.
  • Translate business problems into analysis + system requirements: turn vague asks into crisp scopes, metrics definitions, and data contracts.
  • Build and maintain internal decision systems: ship lightweight tools/workflows so insights are reproducible and maintainable by others.
  • Partner with GTM teams: help Sales/GTM move from "interesting analysis" to actions (e.g., prospecting lists, territory design, experimentation).
  • Proactively surface issues: detect anomalies, broken assumptions, or misallocated spend without waiting for a ticket.
  • Support fundraising readiness: contribute to an evergreen, credible data pool and reporting that leadership can rely on.
Requirements ☑
  • 5+ years of experience in data science, analytics, applied ML or MLE in a high-growth environment
  • Strong applied analytics / data science foundation (statistics, experimentation, causal thinking, forecasting, etc.).
  • Demonstrated ability to scope ambiguous problems and drive to decisions with stakeholders.
  • Comfort writing production-quality code (especially Python) and building maintainable internal systems (not just notebooks).
  • Excellent communication: can explain tradeoffs, assumptions, and recommendations to non-technical audiences.
  • High ownership and autonomy in a fast-paced environment; can operate without a lot of process.
Bonus points
  • Experience partnering closely with Sales/GTM teams (pipeline, conversion, pricing, prospecting, territories, etc.).
  • Experience building internal analytics tooling on cloud infrastructure (basic best practices, reliability, maintainability).
  • Experience operating in early-stage startups and/or building "v1 systems" that later scale.
  • Strong "structured systems thinking" and willingness to defend or revise an approach under scrutiny.

Location
  • Remote friendly
  • Expect ~1 week of travel per quarter to either our Chicago or Redwood City offices.

About the team
You'll partner closely with leaders across the business (GTM, product, and finance) and work directly with exec stakeholders. This is a high-trust, cross-functional role where the outputs need to be decision-ready and reproducible. You would work directly with the GTM leaders on the team:
  1. Amrit (Data Science): Studied CS & English at Cornell; Data Scientist at Enigma; Public Interest Technology Fellow at the New York Public Library. Enjoys mending, maintenance & buying junk on eBay.
  2. Matt (Sales): Studied history at Northwestern; taught middle school in Chicago (hardest job ever), led sales for a consumer start-up (Catch Co.), joined Rundoo as an AE and now leads the GTM team; former competitive angler in college (bass fishing )
  3. Vidhan (Client Experience): Studied Biomedical Engineering and Econ at Duke University; Formerly Director of Product at BuildZoom, Product lead at Hinge Health, and Co-Founder of Urova Medical.

Interview Process
  1. Intro call (30 min)
  2. Take-home exercise overview (30 min)
  3. Paid Take Home (~4-6 hours) - This is the core of the interview. We'll share more information about Rundoo and ask you to complete a task representative of the work you'd do at Rundoo. This interview will be paid, and we ask that you dedicate significant time to it.
  4. On-site
    • Take-home review - pressure-test the analysis; reproduce numbers; push on assumptions
    • GTM collaboration - test trust/translation and move from analysis to action.
    • Lunch with the team
    • Problem solving discussion - informal discussion on how problems are approached and tools used.
    • Systems/engineering - Basic systems architecture and best practices for building an internal tool.
    • Culture - Behavioral questions, geared toward our culture & values.
  5. References: one manager, one peer, one stakeholder (PM/GTM/Finance).

Benefits
  • Full medical, dental, and vision coverage (100% of premiums for you, 50% for dependents)
  • Life Insurance
  • 401k with Betterment
  • Unlimited PTO with 10 company paid holidays
  • Gym allowance
  • Daily team lunches for those in office
  • Learning materials and audiobook subscriptions
  • Dog-friendly office in Redwood City - https://rundoo.ai/rundogs/
About our founders
  1. Andrew (CTO): studied computer science & humanities at Stanford; worked as a software engineer and head of engineering at Apple & Anova; danced with the SF ballet (where he met his wife)!
  2. Nick (CEO): studied math & computer science at Stanford; worked as a trader at Bridgewater & Citadel and as a PM at Google & Enigma; distantly related to the founder of the Hershey company
How we've fundraised
We've raised $18m across three rounds:
  1. A $2m pre-seed led by Kent Bennett at Bessemer with participation from Plug & Play, Quiet Capital, and Sequoia.
  2. A $5m seed led by Caitlin Bolnick Rellas at CRV.
  3. An $11m series A led again by Bessemer and CRV.