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Video Verification Jobs in Wheaton, IL (NOW HIRING)

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Video Verification information

See Wheaton, IL salary details

$25.1K

$57.8K

$91.8K

How much do video verification jobs pay per year?

As of Jul 26, 2026, the average yearly pay for video verification in Wheaton, IL is $57,785.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,500.00 and $67,200.00 per year, depending on experience, location, and employer.

Is there a job that pays you to watch movies?

Video verification jobs sometimes involve watching movies or videos to check for quality, content compliance, or copyright issues. These roles often require attention to detail and familiarity with video editing or review tools, and may be part of quality control or content moderation teams.

How to verify remote jobs?

To verify remote jobs, research the company's official website and look for legitimate contact information. Be cautious of job postings that require upfront payments or personal information and use reputable job boards that screen listings. Confirm the company's legitimacy through reviews and verify the job details before accepting an offer.

What kind of jobs in media bring in $150,000 a year?

High-paying media jobs such as senior video producers, media directors, or video verification managers can earn $150,000 or more annually, especially with extensive experience, advanced skills in editing and production, and leadership roles. These positions often require strong technical expertise, project management skills, and industry experience in digital media environments.

What are the key skills and qualifications needed to thrive as a Video Verification Specialist, and why are they important?

To thrive as a Video Verification Specialist, you need a keen eye for detail, knowledge of video surveillance systems, and familiarity with security protocols, often supported by a background in security or law enforcement. Proficiency with video management software, CCTV systems, and incident reporting tools is typically required. Strong observational skills, integrity, and effective communication are crucial soft skills for accurately assessing and escalating security events. These competencies ensure timely and accurate identification of security threats, supporting the safety and integrity of monitored environments.

How does video verification work?

Video verification for a job involves candidates submitting a live or recorded video to confirm their identity, skills, or qualifications. The process often includes real-time or asynchronous review by employers or automated systems that analyze the video for authenticity and compliance with job requirements. This method helps ensure candidate credibility and reduces fraud during the hiring process.

What is video verification?

Video verification is a process where video footage is used to confirm or authenticate the identity of a person, an event, or an action. This method is commonly used in security systems, such as monitoring alarms or validating user identities during online transactions. By reviewing live or recorded video, operators or automated systems can determine if an alert is genuine or a false alarm, helping to reduce unnecessary responses and improve safety.

What is the difference between Video Verification vs Video Surveillance Technician?

AspectVideo VerificationVideo Surveillance Technician
CertificationsSecurity or alarm system certifications, CCTV trainingSecurity system certifications, CCTV installation training
Work EnvironmentMonitoring centers, remote verification, client sitesInstallation sites, maintenance facilities, client premises
Job FocusReal-time verification of security events, alerting authoritiesInstalling, maintaining, troubleshooting surveillance systems
Industry UsageSecurity companies, alarm monitoring servicesSecurity system providers, electronics installation companies

Video Verification primarily involves monitoring and confirming security incidents remotely, often in real-time, to alert authorities or clients. Video Surveillance Technicians focus on installing, maintaining, and repairing surveillance systems on-site. While both roles require CCTV knowledge and security certifications, Video Verification emphasizes remote monitoring and incident confirmation, whereas Video Surveillance Technicians concentrate on system setup and upkeep.

How does a Video Verification specialist typically collaborate with other departments to ensure accurate and efficient identity checks?

Video Verification specialists frequently work closely with customer support, compliance, and IT teams to streamline the identity verification process. They may coordinate with customer support to address user concerns, consult with compliance to stay updated on regulatory requirements, and collaborate with IT to resolve technical issues or improve verification tools. Effective communication and teamwork are crucial, as these collaborations help maintain a smooth workflow and high accuracy in verifying user identities.
What cities near Wheaton, IL are hiring for Video Verification jobs? Cities near Wheaton, IL with the most Video Verification job openings:
Video Verification jobs near you
Infographic showing various Video Verification job openings in Wheaton, IL as of July 2026, with employment types broken down into 1% As Needed, 80% Full Time, 15% Part Time, 1% Temporary, and 3% Contract. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution, with an average salary of $57,785 per year, or $27.8 per hour.
Project Perseus \u007C Data Labeling Associate - Spanish Speakers (Human-in-the-Loop AI)

Project Perseus \u007C Data Labeling Associate - Spanish Speakers (Human-in-the-Loop AI)

Welo Data

Chicago, IL • On-site

$34/hr

Full-time

Posted 9 hours ago

Job description

Overview

Welo Data is looking for sharp, curious, and detail-oriented individuals to join our team as Data Labeling Associate.

This is not a traditional annotation role.

You’ll be working directly with cutting-edge AI systems — evaluating outputs, identifying gaps, and helping improve how these systems behave in real-world scenarios. The work sits at the intersection of data quality, model evaluation, and human judgment, where your ability to think critically matters just as much as following guidelines.

We’re looking for people who are naturally curious about AI, comfortable forming opinions, and confident in contributing to conversations with teammates, leads, and stakeholders.

Project Details

  • Job Title: Data Labeling Associate
  • 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: $34/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: New York City, 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
  • Evaluate AI model outputs and provide structured, high-quality feedback
  • Perform audit-based reviews of data and model behavior — identifying patterns, edge cases, and failure modes
  • Apply guidelines thoughtfully — and flag when they don’t reflect real-world scenarios
  • Contribute to improving evaluation frameworks, not just executing them
  • Identify trends in model performance and communicate insights clearly
  • Participate in team discussions, calibrations, and stakeholder syncs
  • Partner with leads and cross-functional teams to refine quality standards
  • Document findings 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.  
  • 1–2 years of professional writing experience with strong, structured writing skills
  • Ability to apply complex writing rules and guidelines consistently
  • Strong understanding of safety considerations in GenAI data delivery, with 2+ years of relevant experience
  • Strong critical thinking and attention to detail
  • Ability to make sound judgment calls in ambiguous situations
  • Naturally curious about AI, technology, and how systems behave
  • Comfortable speaking up, asking questions, and contributing ideas
  • Strong written and verbal communication skills
  • Ability to stay consistent while working with evolving guidelines
  • Experience in data quality, QA, annotation, or analysis is helpful — but not required
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.
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.