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Computer System Validation Remote Jobs in Queens, NY

Jzanus Consulting

DRG Validator- Remote

Garden City, NY · Remote

$85K/yr

The DRG Validation position requires an extensive background in inpatient DRG coding with a deep ... Effectively utilize facility Encoders, EMRs, abstracting systems (3M, EPIC, etc.) and auditing ...

Mercor

Computer Vision MLE - Senior

New York, NY · Remote

$135/hr

Remote Duration: 3-4 weeks Commitment: 20+ hours/week Role Responsibilities * Benchmark baseline ... Evaluate the realistic performance ceiling of the computer vision system . * Translate findings ...

Mercor

STEM Expert - Fully Remote

New York, NY · Remote

$70 - $100/hr

... Computer Science , Electrical Engineering , Mechanical Engineering , Civil Engineering , Materials ... Experience with LLMs , AI systems , or agentic workflows; familiarity with agentic frameworks.

Mercor

STEM Expert - Fully Remote

New York, NY · Remote

$70 - $100/hr

... Computer Science , Electrical Engineering , Mechanical Engineering , Civil Engineering , Materials ... Experience with LLMs , AI systems , or agentic workflows; familiarity with agentic frameworks.

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Computer System Validation Remote information

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$11

$56

$89

How much do computer system validation remote jobs pay per hour?

As of Jul 6, 2026, the average hourly pay for computer system validation remote in Queens, NY is $56.68, according to ZipRecruiter salary data. Most workers in this role earn between $43.65 and $67.21 per hour, depending on experience, location, and employer.

What is computer system validation (CSV) in a remote job context?

Computer system validation (CSV) is a process used to ensure that IT systems and software used in regulated industries (such as pharmaceuticals or healthcare) work as intended and comply with relevant regulations. In a remote job context, CSV professionals perform validation tasks, documentation, and system testing from an offsite location, often collaborating with teams via digital tools. This remote work typically involves reviewing validation protocols, writing reports, and ensuring compliance with standards like FDA 21 CFR Part 11, all while leveraging secure online platforms to communicate and manage documentation.

What are the key skills and qualifications needed to thrive as a Computer System Validation (CSV) professional working remotely, and why are they important?

To excel as a Computer System Validation Remote professional, you need a solid understanding of regulatory compliance (such as FDA 21 CFR Part 11), risk management, and validation lifecycle processes, often supported by a degree in computer science, engineering, or a related field. Familiarity with validation software, quality management systems (QMS), and documentation tools is typically required, along with certifications like GAMP or Six Sigma being advantageous. Strong attention to detail, analytical thinking, and effective remote communication are crucial soft skills for this role. These competencies ensure validated systems meet compliance standards, minimize risks, and support seamless collaboration in a regulated, distributed environment.

What is the difference between Computer System Validation Remote vs Computer System Validation on-site?

AspectComputer System Validation RemoteComputer System Validation on-site
Work EnvironmentPerforms validation tasks remotely, often from home or a different location from the client site.Works directly at the client or company site, conducting validation activities in person.
Required CredentialsTypically requires certifications like GxP, 21 CFR Part 11, and validation experience, applicable in both settings.Same certifications as remote roles, with additional familiarity with on-site equipment and facilities.
Industry UsageCommon in industries like pharmaceuticals and biotech where remote oversight is feasible.Traditional in regulated industries requiring on-site validation activities.

Both roles require similar certifications and industry knowledge, but the main difference lies in the work environment—remote versus on-site. Remote validation offers flexibility, while on-site validation involves direct interaction at the facility.

What are some common challenges faced by Computer System Validation professionals working remotely, and how can they be addressed?

Remote Computer System Validation (CSV) professionals often encounter challenges such as coordinating validation activities across distributed teams and ensuring secure access to sensitive documentation. Effective communication and use of collaborative tools are crucial for managing documentation reviews, test execution, and issue resolution. Establishing clear validation protocols and regular virtual check-ins with cross-functional teams can help maintain compliance and project momentum. Additionally, leveraging secure cloud-based validation platforms can streamline approvals and maintain data integrity while working remotely.
What cities near Queens, NY are hiring for Computer System Validation Remote jobs? Cities near Queens, NY with the most Computer System Validation Remote job openings:
Computer System Validation Remote jobs near you

Computer Science Specialist remote

ESRhealthcare and EXEC STAFF RECRUITERS

New York, NY • Remote

Full-time

Posted 3 days ago

Job description

Computer Science Specialist remote

https://jobs.micro1.ai/post/75b76df7-6fe1-4759-8c0c-fd552054169b?referralCode=1761f2a1-0970-4c4f-a273-a1b557d5ad9f&utm_source=referral&utm_medium=share&utm_campaign=job_referral

Computer Science Specialist

Role Type: Contractor

Location: Remote

micro1 is engaging Computer Science Specialists to contribute their advanced expertise in support of a customer's project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.

Scope of Work

Analyze and evaluate computer science problems, solutions, and applied methodologies to inform AI system training.

Author, critique, or edit technical documentation such as system design documents, research write-ups, or technical papers to ensure clarity and rigor.

Develop and review real-world computer science scenarios, datasets, and case studies for use in AI learning workflows.

Assess technical queries and propose detailed, well-structured responses based on current best practices and foundational concepts.

Collaborate with project coordinators to refine task guidelines and optimize data quality.

Provide insightful written and verbal feedback to improve model accuracy, relevance, and robustness.

Support the evaluation and continuous improvement of AI-driven tools with constructive analysis and domain expertise.

Preferred Qualifications

BSc, MSc, or PhD in Computer Science or a closely related discipline.

Experience authoring technical papers, system design documents, or research publications.

Demonstrated expertise in a specialized domain such as algorithms, distributed systems, networking, databases, or artificial intelligence.

Exceptional written and verbal communication skills, with a passion for precise, effective expression.

Proven ability to break down complex concepts for diverse audiences and applications.

Track record of participation in collaborative research, technical reviews, or open-source contributions.

Adaptability and commitment to delivering high-quality, insightful contributions within project guidelines.