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Data Qa Engineer Remote Jobs in Edison, NJ (NOW HIRING)

Senior Manual QA Engineer

New York, NY · Remote

$119K - $141K/yr

By bringing data and teams together, we empower researchers to design more intelligent trials and ... Remote or Hybrid Work Environment * Peer-to-peer bonus program * Company/department outings and ...

QA Manager

New York, NY · Remote

$88K - $130K/yr

Remote, US Department: QA/RC - Corporate Planning Division Reports To: QA/RC Director Are you ready ... Analyze and interpret quality data, identifying trends, root causes, and corrective action ...

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... Experience with algorithms, data structures, and debugging workflows * A current, in progress, or ...

QA Engineer - AI Trainer

Newark, NJ · Remote

$50 - $100/hr

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... Experience with algorithms, data structures, and debugging workflows * A current, in progress, or ...

... data integrity, and role-based access validation. Job Title: Senior QA Automation Engineer Location: US-Based / Remote Duration: 5+ yr Key Responsibilities * Own QA strategy and automation across API ...

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... Experience with algorithms, data structures, and debugging workflows * A current, in progress, or ...

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... Experience with algorithms, data structures, and debugging workflows * A current, in progress, or ...

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... Experience with algorithms, data structures, and debugging workflows * A current, in progress, or ...

Edit Automation QA Contract Remote to Start ( W2 Consulting Only ) Looking for an Automation QA to join a team of developers and take over the automation from the developers. Qualifications: * UI / ...

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Showing results 1-20

Data Qa Engineer Remote information

See Edison, NJ salary details

$46.1K

$134.3K

$183.8K

How much do data qa engineer remote jobs pay per year?

As of Jun 28, 2026, the average yearly pay for data qa engineer remote in Edison, NJ is $134,289.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,500.00 and $142,300.00 per year, depending on experience, location, and employer.

What is the difference between Data Qa Engineer Remote vs Data Analyst Remote?

AspectData Qa Engineer RemoteData Analyst Remote
Primary FocusTesting and ensuring data quality, accuracy, and integrityAnalyzing data to generate insights and reports
Required SkillsData testing, SQL, scripting, quality assuranceData analysis, visualization, SQL, statistical skills
Work EnvironmentRemote, often within tech or data-driven companiesRemote, across various industries including finance, marketing, tech
Common CertificationsData QA certifications, SQL certificationsData analysis certifications, Excel, Tableau

While both roles involve working with data remotely, Data Qa Engineers focus on testing and validating data quality, whereas Data Analysts interpret data to support decision-making. Understanding these differences helps job seekers target the right roles based on their skills and career goals.

What are popular job titles related to Data Qa Engineer Remote jobs in Edison, NJ? For Data Qa Engineer Remote jobs in Edison, NJ, the most frequently searched job titles are:
What job categories do people searching Data Qa Engineer Remote jobs in Edison, NJ look for? The top searched job categories for Data Qa Engineer Remote jobs in Edison, NJ are:
Infographic showing various Data Qa Engineer Remote job openings in Edison, NJ as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $134,289 per year, or $64.6 per hour.

AI QA Engineer (Multilingual)

Scaled Cognition

New York, NY • Remote

Full-time

Posted 17 days ago


Job description

AI QA Engineer (Multilingual)

As an AI QA Engineer (Multilingual) at Scaled Cognition, you will be the final line of defense for our model's quality. You'll sit at the critical intersection of data engineering, quality assurance, and linguistics, ensuring our LLM training data and evaluation sets are flawless. You'll be getting your hands dirty, meticulously inspecting data, and making direct code contributions to fix issues. If you love the idea of turning messy, imperfect data into gold and have the technical chops to automate parts of that cleanup, you will thrive here.

What you'll do:

  • Meticulously inspect, review, and grade LLM training data, evaluation test cases, and model outputs to ensure maximum quality and accuracy.

  • Maintain local development environments to run test pipelines, investigate edge cases, and submit PRs via Git/GitHub to update our training repositories.

  • Act as a technical data detective, diving deep into training data to spot error cases.

  • Leverage LLMs as internal tools to translate, verify, and maintain our cross-lingual datasets.

  • Collaborate closely with the engineering team to refine our evaluation criteria and improve our data pipelines.

You might be the right person for the job if you:

  • Have an obsessive attention to detail and get a dopamine hit from finding the one edge case or bad translation that broke a prompt.

  • Are a builder who doesn't mind the weeds. You understand that high-quality AI is built on rigorous, sometimes repetitive data inspection, and you embrace that reality.

  • Are technically self-sufficient. You’re comfortable navigating a terminal, running Python scripts locally, and managing your own version control.

  • Love languages and understand the linguistic nuances required for high-quality translation and cross-lingual model evaluation.

  • Thrive in a fast-paced environment where you can take ownership of the data quality that directly drives model performance.

Key Qualifications:

  • Strong technical background with hands-on coding experience (Python preferred) and proficiency with Git/GitHub.

  • Fluency in English and native or near-native proficiency in at least one other language.

  • Deep understanding of Large Language Models, their failure modes (hallucinations, formatting errors), and effective prompting techniques.

  • Proven experience in Quality Assurance, Data Quality, or Data Engineering, with a track record of auditing and maintaining large datasets.

  • Exceptional written communication skills across multiple languages.