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No Experience Data Encoder Jobs in Mount Prospect, IL

Pae

Meteorologist Senior

Chicago, IL

... encodes,decodesand transmits the acquired data to organizations worldwidein a timely manner ... Required Education, Experience, Certificates and Licenses: * Bachelor of Science degreerequired.

Medix

Inpatient Coder

Chicago, IL · On-site

$34 - $45/hr

Experience with hospital EMR and encoder systems. * Excellent attention to detail and coding ... financial and other payment data, and working within departments that care for vulnerable ...

Ulta Beauty, Inc.

Data Scientist

Bolingbrook, IL

$102K - $130K/yr

OVERVIEW Live the experience . From professional empowerment to continual learning opportunities ... We're engineering for the future of retail, and it's no-holds-barred. But for those motivated by ...

Ulta Beauty

Data Scientist

Bolingbrook, IL · On-site

$102K - $130K/yr

OVERVIEW Live the experience . From professional empowerment to continual learning opportunities ... We're engineering for the future of retail, and it's no-holds-barred. But for those motivated by ...

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All JobsData Encoder JobsNo Experience Data Encoder JobsNo Experience Data Encoder Jobs in Mount Prospect, IL

No Experience Data Encoder information

What is a no experience data encoder?

A No Experience Data Encoder job is an entry-level position where you input, update, and manage data in computer systems or databases. Employers typically provide training, so no prior experience is required. Responsibilities may include typing data from physical documents, verifying accuracy, and organizing records. Basic computer skills, attention to detail, and fast typing speed are usually preferred. This role is common in industries like administration, healthcare, finance, and retail.

What are the key skills and qualifications needed to thrive in the no experience data encoder position?

To thrive as a No Experience Data Encoder, you need strong attention to detail, fast and accurate typing skills, and at least a high school diploma or equivalent. Familiarity with basic data entry software such as Microsoft Excel or Google Sheets is helpful, though most employers provide on-the-job training for their specific systems. Being reliable, organized, and able to maintain focus during repetitive tasks are valuable soft skills in this role. These abilities ensure data is entered correctly and efficiently, supporting accurate business operations.

What are some common challenges for someone starting out as a no experience data encoder?

One common challenge for new Data Encoders is maintaining speed and accuracy while entering large volumes of information, especially in environments with tight deadlines. Adapting to company-specific software or databases may also require an initial learning period, but most employers provide comprehensive training and ongoing support. It can take time to become accustomed to repetitive tasks, but developing efficient workflows and using keyboard shortcuts can make the job easier. Teamwork and clear communication with supervisors or colleagues are key, especially when clarifying unclear data or prioritizing urgent tasks.

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Infographic showing various No Experience Data Encoder job openings in Mount Prospect, IL as of August 2026, with employment types broken down into 65% Full Time, 31% Part Time, and 4% Contract. Highlights an 97% In-person, and 3% Remote job distribution.

Project Perseus \u007C Data Quality Analyst - Arabic Speakers (Human-in-the-Loop AI)

Welo Data

Chicago, IL • On-site

$38/hr

Full-time

Re-posted 25 days ago

Job description

Welo Data is looking for experienced, detail-oriented professionals to join our team as Data Quality Analysts. This role sits at the center of execution and quality — bridging Data Labeling Associates (DLAs) and Team Leads to ensure work is not only completed, but done right.

You'll work closely with both people and AI systems — auditing outputs, supporting day-to-day execution, and helping teams apply guidelines correctly in fast-moving, real-world scenarios. The work combines data quality, light project coordination, and hands-on training, where your ability to guide others and think critically is just as important as your own output.

Project Details

  • Job Title: Data Quality Analyst
  • Hiring in: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston
  • Hours: Full-time, 40 hours per week
  • Employment Type: W2 Full-Time Employee
  • Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship)
  • Pay Rate: $38/hour
  • Contract Duration: 1-year contract with possibility of extension

Important: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston. Please only apply if you meet this location requirement.

What You’ll Do
  • Support quality and execution across DLA teams, ensuring work meets defined standards at scale
  • Audit DLA outputs and provide structured, actionable feedback to improve accuracy and consistency
  • Act as the first line of support for DLAs — answering questions and helping interpret guidelines
  • Help DLAs navigate ambiguity and apply evolving instructions effectively
  • Support onboarding and training of new DLAs through hands-on guidance and coaching
  • Monitor workflows, queues, and blockers — escalating risks and gaps to Team Leads
  • Identify patterns, recurring issues, and edge cases in both human and model outputs
  • Participate in calibrations, team discussions, and stakeholder syncs
  • Contribute to improving guidelines, processes, and overall team performance
  • Document findings and feedback in a clear, concise, and actionable way
What We’re Looking For
  • Native-level language proficiency and a university degree (Bachelor’s or higher).
  • B2 or superior level of English.  
  • 2–4 years of experience in data annotation, content quality, QA, or related fields
  • Strong ability to interpret and apply complex guidelines with consistency
  • Excellent attention to detail with a high bar for quality
  • Ability to stay consistent while working with evolving guidelines and priorities
  • Experience in AI/ML data workflows or human-in-the-loop evaluation environments
  • Prior experience auditing or reviewing the work of others
  • Familiarity with safety, compliance, or policy-driven content evaluation
Benefits
  • Paid Vacation: 6 days
  • Paid Company Holidays: 2 days (Memorial Day and Labor Day)
  • Paid Sick Leave: accrued per applicable state law and company policy
  • Medical, Dental, and Vision Insurance (eligibility applies)
  • Health Savings Account (HSA)
  • 401(k) Retirement Plan
  • Employee Assistance Program
  • Additional voluntary benefits (life, accident, critical illness, etc.)
  • Free Gourmet Food: Free breakfast, lunch, and dinner are provided, featuring a wide variety of cuisines in multiple cafes.
  • Micro-kitchens & Snacks: Offices are stocked with free snacks and beverages, including premium coffee and La Croix.
  • Unique Campus Features: Some locations include roof-top nature parks
  • Commuter Benefits: Free transport, shuttles, and sometimes bike-to-work perks.
Why This Role

This is an opportunity to move beyond traditional data work and play a direct role in how AI systems are evaluated and improved. The work is fast-moving, collaborative, and increasingly central to how modern AI systems are built and deployed.

Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment.
 
To know more details (Click here)
 
In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.  In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program.
 
 
As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com
 
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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.