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Full Time Data Annotation Tech Jobs in Illinois (NOW HIRING)

Covista

Data Engineer

Lisle, IL · On-site

$74.06K - $133.90K/yr

Through personalized, tech-enabled education powered by 10,000 faculty and colleagues, Covista ... Applicants must be currently authorized to work in the United States on a full-time basis. Covista ...

Sonsoft Inc

Big Data

Chicago, IL

$57.50 - $76/hr

Should have hands-on experience in any of the big data technologies like Map reduce, Hadoop, Hive ... Note:- * This is a Full-Time Permanent job opportunity for you. * Only US Citizen, Green Card ...

Covista

Data Engineer

Lisle, IL · Hybrid

$74.06K - $133.90K/yr

Applicants must be currently authorized to work in the United States on a full-time basis. Covista will not sponsor applicants for work visas. Work closely with various business, IT, Analyst and Data ...

University of Utah

Data Engineers

Campus, IL · On-site +1

$111.60K - $134.10K/yr

No Standard Hours per Week 40 Full Time or Part Time? Full Time Shift Day Work Schedule Summary ... Evaluate and recommend tools and technologies for data infrastructure and processing. Collaborate ...

University of Utah

Data Engineers

Campus, IL · On-site +1

$111.60K - $134.10K/yr

No Standard Hours per Week 40 Full Time or Part Time? Full Time Shift Day Work Schedule Summary ... Evaluate and recommend tools and technologies for data infrastructure and processing. Collaborate ...

University of Utah

Data Engineers

Campus, IL · On-site +1

$111.60K - $134.10K/yr

No Standard Hours per Week 40 Full Time or Part Time? Full Time Shift Day Work Schedule Summary ... Evaluate and recommend tools and technologies for data infrastructure and processing. Collaborate ...

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Data Engineer

Chicago, IL · On-site

$120K - $150K/yr

Engineer solutions using technologies such as PySpark, Spark SQL, SQL, Python, Delta Lake, and ... The base compensation range for this full-time position is between $120,000-$150,000 plus benefits.

Reply

Data Engineer

Chicago, IL · On-site

$120K - $150K/yr

Engineer solutions using technologies such as PySpark, Spark SQL, SQL, Python, Delta Lake, and ... The base compensation range for this full-time position is between $120,000-$150,000 plus benefits.

Reply

Data Engineer

Chicago, IL · On-site

$120K - $150K/yr

Engineer solutions using technologies such as PySpark, Spark SQL, SQL, Python, Delta Lake, and ... The base compensation range for this full-time position is between $120,000-$150,000 plus benefits.

Reply

Manager, Data Engineering

Chicago, IL

$160K - $190K/yr

The person will mainly focus on building modern data platforms using Microsoft cloud technologies ... The base compensation range for this full-time position is between $160,000 - $190,000 plus ...

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Manager, Data Engineering

Chicago, IL · On-site

$160K - $190K/yr

The person will mainly focus on building modern data platforms using Microsoft cloud technologies ... The base compensation range for this full-time position is between $160,000 - $190,000 plus ...

Sonsoft Inc

Big Data

Chicago, IL

Should have hands-on experience in any of the big data technologies like Map reduce, Hadoop, Hive ... Note:- 1.This is a Full-Time & Permanent job opportunity for you. 2.Only US Citizen Green Card ...

Sonsoft Inc

Data Science Analytics

Chicago, IL

... Technology Enabled Services. * Domain - Retail and/or CPG domain Knowledge * Retail Execution ... Note:- * This is a Full-Time & Permanent job opportunity for you. * Only US Citizen , Green Card ...

Sonsoft Inc

Data Science/Analytics

Chicago, IL · On-site

... Technology Enabled Services. * Domain - Retail and/or CPG domain Knowledge. * Retail Execution ... Note:- This is a Full-Time & Permanent job opportunity for you. Only US Citizen , Green Card Holder ...

Sonsoft Inc

Big Data (Architect)

Chicago, IL

$65.75 - $84.50/hr

... Technology Enabled Services. At least 4-5+ years application Big Data project implementation ... Note:- 1.This is a Full-Time & Permanent job opportunity for you. 2.Only US Citizen Green Card ...

Capital One

Principal Data Analyst

Chicago, IL

Use Open Source/Digital technologies to mine complex, voluminous, and different varieties of data ... The minimum and maximum full-time annual salaries for this role are listed below, by location.

Gotion, Inc.

Data Analyst

Manteno, IL · On-site

Gotion is powered by a leading power battery technology company that provides solutions for ... The US base salary range for this full-time position is $65,000.00 - $70,000.00 + 15% bonus ...

Ventures Unlimited Inc

Hadoop Data Admin

Schaumburg, IL · On-site

... technologies, and identify talent - often in combination - to an endless array of real-world customer needs Title : Hadoop Data Admin Location : Schaumburg, IL Type : Full Time Permanent Responsible ...

Sonsoft Inc

Big Data

Moline, IL · On-site

$48 - $62/hr

... Technology Enabled Services. * Background in all aspects of software engineering with strong skills ... This is a Full-Time & Permanent job opportunity for you. 2.Only US Citizen, Green Card Holder, GC ...

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All JobsFull Time Data Annotation Tech JobsFull Time Data Annotation Tech Jobs in Illinois

Full Time Data Annotation Tech information

What are the key skills and qualifications needed to thrive as a Full Time Data Annotation Tech, and why are they important?

To thrive as a Full Time Data Annotation Tech, you need strong attention to detail, basic data management skills, and familiarity with data labeling practices, typically supported by a high school diploma or equivalent. Experience with annotation tools (such as Labelbox, Supervisely, or similar platforms) and basic proficiency in spreadsheet or database systems are commonly required. Reliability, consistency, and effective communication are crucial soft skills for quality assurance and collaboration with data teams. These skills and qualities are essential to ensure the accuracy and efficiency of annotated datasets, which directly impact the performance of machine learning models.

How does a Full Time Data Annotation Tech typically collaborate with data scientists and engineers on projects?

As a Full Time Data Annotation Tech, you will regularly work alongside data scientists and engineers to ensure the accuracy and quality of labeled datasets used for machine learning models. Collaboration often involves attending project meetings to clarify annotation guidelines, providing feedback on ambiguous data cases, and updating annotation processes based on team input. Clear communication is essential, as your work directly impacts model performance and downstream analytics. This team-oriented environment fosters learning and provides insight into broader AI development workflows.

What are Full Time Data Annotation Techs?

Full Time Data Annotation Techs are professionals responsible for labeling and categorizing data used to train machine learning models. They examine various types of data, such as images, text, or audio, and apply specific tags or annotations according to project guidelines. Their work is essential in ensuring the accuracy of artificial intelligence systems by providing high-quality, structured datasets. Full-time positions typically involve working standard business hours and may require familiarity with specialized annotation tools and attention to detail.

What is the difference between Full Time Data Annotation Tech vs Data Labeling Specialist?

AspectFull Time Data Annotation TechData Labeling Specialist
CredentialsBasic computer skills, attention to detailSimilar credentials, often with training in labeling tools
Work EnvironmentOffice or remote, collaborative teamsRemote or on-site, focused on labeling tasks
Industry UsageAI, machine learning, tech companiesAI, autonomous vehicles, healthcare
Job FocusAnnotating data for machine learning modelsLabeling data to improve AI accuracy

Both roles involve data annotation and labeling, often requiring similar skills and working environments. The main difference lies in job titles used by employers and the scope of responsibilities, with 'Full Time Data Annotation Tech' emphasizing a broader technical role, while 'Data Labeling Specialist' may focus more on specific labeling tasks.

What are the most commonly searched types of Data Annotation Tech jobs in Illinois? The most popular types of Data Annotation Tech jobs in Illinois are:
What are popular job titles related to Full Time Data Annotation Tech jobs in Illinois? For Full Time Data Annotation Tech jobs in Illinois, the most frequently searched job titles are:
What job categories do people searching Full Time Data Annotation Tech jobs in Illinois look for? The top searched job categories for Full Time Data Annotation Tech jobs in Illinois are:
What cities in Illinois are hiring for Full Time Data Annotation Tech jobs? Cities in Illinois with the most Full Time Data Annotation Tech job openings:
Full Time Data Annotation Tech jobs near you

Data Engineer

Covista

Lisle, IL • On-site

$74.06K - $133.90K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 17 days ago

Job description

Company Description
Covista is America's largest healthcare educator, serving more than 97,000 students and supported by a community of 385,000 alumni across five accredited institutions. Through personalized, tech-enabled education powered by 10,000 faculty and colleagues, Covista expands access to healthcare careers and addresses the U.S. healthcare workforce shortage at scale. Covista is the parent company of American University of the Caribbean School of Medicine, Chamberlain University, Ross University School of Medicine, Ross University School of Veterinary Medicine and Walden University.
Our colleagues come from a wide range of backgrounds, business, academia, healthcare, government and nonprofits, and are part of a culture where doing exceptional work and making a meaningful difference for students and society aren't separate goals-they're one and the same. This means creating an environment where colleagues can develop new skills, build careers that match their ambitions and see the tangible impact of their work on healthcare education and workforce development. Colleagues who deliver results and embrace new tools to work smarter are valued for their contributions. But what makes working at Covista distinctive is our impact. Our faculty and colleagues don't just support healthcare education-they shape it. This isn't abstract purpose work. It's solving real problems for real people in real communities while advancing careers.
We operate on a hybrid schedule with four in-office days per week (Monday-Thursday). This approach enhances creativity, innovation, communication, and relationship-building, fostering a dynamic and collaborative work environment.
For more information, visit covista.com and follow us on LinkedIn, Instagram and YouTube.
***Applicants must be currently authorized to work in the United States on a full-time basis. Covista will not sponsor applicants for work visas.***
Job Description
  • Work closely with various business, IT, Analyst and Data Science groups to collect business requirements.
  • Develop, deploy and support high performance data pipelines both inbound and outbound.
  • Optimize data pipelines for performance, scalability, and reliability.
  • Ensure quality of critical data element, prepare data quality remediation plans and collaborate with business and system owners to fix the quality issues at its root.
  • Document the design and support strategy of the data pipelines.
  • Capture, store and socialize data lineage and operational metadata.
  • Troubleshoot and resolve data engineering issues as they arise.

***Applicants must be currently authorized to work in the United States on a full-time basis. Covista will not sponsor applicants for work visas.***
Qualifications
  • Bachelor's Degree Computer Science, Computer Engineering, Software Engineering, or other related technical field Required.
  • Master's Degree Computer Science, Computer Engineering, Software Engineering, or other related technical field Preferred.
  • Three (3) plus years of experience in building data lakes and cloud data platforms.
  • Experience working with GCP technologies like BigQuery, Composer, GCS, DataStream, Dataflows.
  • Expert knowledge on SQL and Python programming.
  • Experience working with Airflow as workflow management tools and build operators to connect, extract and ingest data as needed.
  • Experience in tuning queries for performance and scalability
  • Experience working in agile environment.
  • Excellent problem-solving and critical thinking skills.

***Applicants must be currently authorized to work in the United States on a full-time basis. Covista will not sponsor applicants for work visas.***
Additional Information
In support of the pay transparency laws enacted across the country, the expected salary range for this position is between $74,064.94 and $133,901.96. Actual pay will be adjusted based on job-related factors permitted by law, such as experience and training; geographic location; licensure and certifications; market factors; departmental budgets; and responsibility. Our Talent Acquisition Team will be happy to answer any questions you may have, and we look forward to learning more about your salary requirements. The position qualifies for the below benefits.
Covista offers a robust suite of benefits including:
  • Health, dental, vision, life and disability insurance
  • 401k Retirement Program + 6% employer match
  • Participation in Covista's Flexible Time Off (FTO) Policy
  • 12 Paid Holidays
    For more information related to our benefits please visit:
    https://careers.covista.com/benefits
    You are also eligible to participate in an annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

***Applicants must be currently authorized to work in the United States on a full-time basis. Covista will not sponsor applicants for work visas.***
Equal Opportunity - Minority / Female / Disability / V / Gender Identity / Sexual Orientation

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