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Live In Data Collector Jobs in Chicago, IL (NOW HIRING)

Purple Drive

Data Architect

Chicago, IL · On-site

$65.75 - $84.50/hr

Strong hands-on, experience in AWS, Databricks, PySpark, ETL, and Delta Live Tables (DLT). Good understanding of modern data lakehouse architecture. Experience in data modeling, orchestration, and ...

Marklund

Job Coach/Caregiver - Up to $21/hr

Elgin, IL

$21/hr

... in goals including continuous data evaluations each month Maintain a clean and safe environment for our clients Observe and properly Implement Behavior Management plans including proactive and ...

PayPal

Sr Data Scientist

Chicago, IL · On-site

We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness ... Drive best practices in data science. * Ensure data quality and integrity in all processes.

Inspire11

Data Architect

Chicago, IL · Remote

$65.75 - $84.50/hr

Value creation isn't something we talk about - it's something we live, every day. At Inspire11, w ... What you can expect in this role: As a Data Architect, you will design the technical backbone of ...

Inspire11

Data Architect

Chicago, IL · On-site

$65.75 - $84.50/hr

Value creation isn't something we talk about - it's something we live, every day. At Inspire11, w ... What you can expect in this role: As a Data Architect, you will design the technical backbone of ...

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Live In Data Collector information

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$10

$20

$29

How much do live in data collector jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for live in data collector in Chicago, IL is $20.81, according to ZipRecruiter salary data. Most workers in this role earn between $16.83 and $24.76 per hour, depending on experience, location, and employer.

What is the difference between Live In Data Collector vs Field Data Technician?

AspectLive In Data CollectorField Data Technician
CredentialsHigh school diploma or equivalent; training in data collection methodsHigh school diploma; technical training or certifications often preferred
Work EnvironmentResidential settings, living on-site or nearbyVarious outdoor and indoor locations, traveling frequently
Employer & IndustryResearch firms, market research companies, government agenciesUtility companies, environmental agencies, research organizations

While both roles involve collecting data in the field, Live In Data Collectors typically reside on-site to gather specific information, often in residential settings. Field Data Technicians usually travel to multiple locations, working outdoors or in various environments. Both roles require similar credentials but differ mainly in work setting and living arrangements.

How to become a live in data collector?

To become a live-in data collector, candidates typically need strong observational skills, attention to detail, and the ability to work independently. Relevant experience in data collection, familiarity with data entry tools, and sometimes a background in research or social sciences are beneficial. Some positions may require a valid driver's license or background checks, and the role often involves flexible scheduling and working in various environments.

How much do live in data collectors get paid?

Live-in data collectors typically earn between $10 and $20 per hour, depending on the location, complexity of data collection tasks, and experience. Some positions may offer a fixed weekly or monthly stipend, and additional benefits such as housing or transportation allowances may be included.

What are the most commonly searched types of Data Collector jobs in Chicago, IL?

The most popular types of Data Collector jobs in Chicago, IL are:

What are popular job titles related to Live In Data Collector jobs in Chicago, IL?

For Live In Data Collector jobs in Chicago, IL, the most frequently searched job titles are:

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The top searched job categories for Live In Data Collector jobs in Chicago, IL are:

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Cities near Chicago, IL with the most Live In Data Collector job openings:

Live In Data Collector jobs near you

Project Perseus \u007C Data Quality Team Lead (Human-in-the-Loop AI)

Welo Data

Chicago, IL • On-site

$43.50/hr

Full-time

Re-posted 19 days ago

Job description

Overview

Welo Data is looking for a Data Quality Lead to oversee teams of Data Quality Analysts supporting AI model evaluation and improvement.

This role is equal parts people leadership, quality ownership, and operational thinking.

You’ll be responsible for guiding teams through fast-changing work, ensuring high-quality output, and acting as a bridge between analysts and stakeholders. This is not just about managing throughput — it’s about shaping how quality is defined, measured, and improved in a human-in-the-loop environment.

Project Details

  • Job Title: Data Quality Lead
  • 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
  • Pay rate: $43.50/ 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
  • Lead and support a team of Data Quality Analysts
  • Oversee overall operational performance across workflows and teams
  • Ensure team activities align with broader business objectives and program goals
  • Drive the success of key initiatives across quality, delivery, and team performance
  • Own quality across workflows — including audits, calibrations, and feedback loops
  • Identify trends, risks, and gaps in model performance and data quality
  • Translate ambiguous or evolving guidelines into clear team direction
  • Run calibrations and ensure consistency across reviewers
  • Partner with stakeholders to align on quality standards and expectations
  • Prioritize and support hiring of linguists and specialized talent as needed
  • Drive continuous improvement across processes, tooling, and evaluation methods
  • Step into edge cases and complex decisions when needed
  • Support team growth, coaching, and performance management
What We’re Looking For
  • 5–8 years of experience in data quality, QA, AI/ML operations, or related fields
  • 2+ years of experience leading teams in data quality, QA, or AI/ML-related work at scale
  • Native-level English proficiency and a university degree (Bachelor’s or higher).
  • Proficiency in languages other than English is preferred, with particular interest in candidates demonstrating bilingual mastery in French, Italian, German, Spanish, or Brazilian Portuguese.
  • Strong operational mindset with experience managing performance across multiple workstreams
  • Proven ability to drive quality, delivery, and process improvements
  • Strong judgment and ability to operate in ambiguity
  • Comfortable interacting with stakeholders and representing the team
  • Ability to balance quality, speed, and evolving priorities
  • Strong communication and organizational skills
  • Deep attention to detail, with the ability to zoom out and see patterns
  • Interest in AI and how human feedback shapes model behavior 
Role Scope & Accountability

This leader is accountable for end-to-end operational success — including resource management, process optimization, and continuous improvement.

You’ll be expected to think beyond day-to-day execution and focus on long-term outcomes, ensuring the team consistently meets targets across quality, delivery, and overall program performance.

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

You’ll be at the center of how AI systems are evaluated in the real world — helping define quality, guide teams, and influence how models improve over time.

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.