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Bilingual Computer Programmer Jobs (NOW HIRING)

Compunnel

Computer Vision Engineer

Chicago, IL · On-site

$114K - $135K/yr

The role combines computer vision, YOLO-based logo detection, multilingual text analysis, and ... The engineer will own the ML lifecycle from problem definition and data strategy through model ...

Royston Plant

CAD Technician

Bell Gardens, CA · On-site

$21 - $25/hr

In collaboration with external engineering partners, this role supports the development of ... Strong written and verbal communication skills; bilingual abilities are a plus but not required.

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How much do bilingual computer programmer jobs pay per year?

As of Sep 9, 2026, the average yearly pay for bilingual computer programmer in the United States is $64,974.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,500.00 and $80,000.00 per year, depending on experience, location, and employer.

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Infographic showing various Bilingual Computer Programmer job openings in the United States as of June 2026, with employment types broken down into 3% As Needed, 49% Full Time, and 48% Part Time. Highlights an 90% Physical, 2% Hybrid, and 8% Remote job distribution, with an average salary of $64,974 per year, or $31.2 per hour.

Computer Vision Engineer

Chicago, IL • On-site

Compunnel
IT Services • 501 - 1,000 employees
Learn more about Compunnelexternal

$114K - $135K/yr

Contractor

Posted 7 days ago

Job description

Job Summary:
The Computer Vision Engineer will lead the end-to-end development of AI models and production-ready solutions for sustainability claim verification. The role combines computer vision, YOLO-based logo detection, multilingual text analysis, and multimodal LLM workflows using GPT-4o or similar APIs to verify sustainability claims against compliance references. The engineer will own the ML lifecycle from problem definition and data strategy through model development, evaluation, deployment, and integration into business workflows, with a strong emphasis on accuracy, documentation, traceability, and compliance-sensitive AI solutions.
Key Responsibilities:
• Lead end-to-end development of AI models for sustainability claim verification, from problem definition and data strategy through deployment.
• Build and train YOLO-based object detection models to identify relevant logos and visual markers on product labels.
• Define labeling strategies and iterate on data quality to improve computer vision model performance.
• Develop and implement LLM-based verification workflows using GPT-4o APIs for text and multimodal image analysis.
• Build multimodal AI solutions combining image and text analysis to assess sustainability claims against compliance references.
• Define and refine claim verification logic and model evaluation methodologies.
• Work with artwork and label images, sustainability claims, multilingual text, regulatory compliance data, and historical claim records.
• Collaborate with internal stakeholders to define what qualifies as a verifiable claim and establish required evidence.
• Evaluate model performance using metrics including false positives, false negatives, and edge-case handling.
• Deliver production-ready AI pipelines and support integration into business workflows, including dashboards and other tools.
• Document model methodology, testing results, evaluation outcomes, and deployment recommendations.
Required Qualifications:
• Senior-level experience delivering end-to-end ML systems, including problem definition, data strategy, model development, evaluation, and deployment.
• Strong computer vision expertise with hands-on experience developing object detection models.
• Required experience with YOLO-based object detection.
• Hands-on experience using LLMs through APIs, such as GPT-4o or similar, in production or near-production environments.
• Experience developing multimodal AI solutions involving image and text analysis.
• Proven experience working with multilingual text data.
• Experience building AI solutions in compliance-sensitive environments requiring accuracy, documentation, and traceability.
• Strong understanding of model evaluation metrics, including false positives, false negatives, and edge-case handling.
Preferred Qualifications:
• Experience with sustainability, regulatory, labeling, or compliance data.
• Experience with logo detection or taxonomy development.
• Experience building AI-driven dashboards or applications.
• Familiarity with GPU-based model training environments.
• Experience working with consumer product, retail, or packaging data.
• Experience developing verification logic frameworks or quality assurance pipelines.
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About Compunnel

Sourced by ZipRecruiter

Compunnel is a well-known company located in Plainsboro, NJ, US, recognized in the industry of IT Services and Solutions. Established in 1989, Compunnel offers a suite of services that help businesses integrate technology efficiently into their operations, a recognizable name in the IT solutions sphere for over three decades. The company’s service portfolio includes Digital Transformation, Business Intelligence, Cloud Services, Cybersecurity, and Application Modern Services, among others. Guided by its mission "to innovate with industry-leading digital solutions and disruptive tech strategies for unimagining business growth," the company underlines its commitment to offering out-of-the-box solutions to its clients. Remarkable achievements of the company include serving more than 30 Fortune 500 companies and providing job opportunities for over 50,000 individuals.

Industry

It services

Company size

501 - 1,000 Employees

Headquarters location

Plainsboro, NJ, US

Year founded

1994

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