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Data Qa Engineer Full Time Jobs (NOW HIRING)

QA Engineer

Sandy, UT · On-site +1

Hybrid / Remote / Flexible Reports To: QA Manager Job Type: Full-Time The QA Engineer works closely with business stakeholders, product specialists, QA leadership, and software engineers to ...

Quality Assurance Engineer (Manual + Automation SaaS) - Remote Position Type: Full-Time, Remote Working Hours: U.S. Business Hours (flexible for releases & sprints) About the Role We're hiring a ...

Basic knowledge of SQL for data validation and verifying system behavior across backend services ... permanent, full-time position based on mutual fit and performance during the contract period.

As a Senior QA Engineer, you will play a crucial role in validating FMX's trading platforms and ... Validate trading protocols, including message flows, order lifecycles, and market data interactions.

Quality Assurance Engineer - BWX Technologies, Inc. - Barberton, OH Responsibilities include ... Analysis of quality trending data to implement product improvement actions. * Procedure development ...

Quality Assurance Engineer - BWX Technologies, Inc. - Barberton, OH Responsibilities include ... Analysis of quality trending data to implement product improvement actions. * Procedure development ...

Everforth ECS Federal is seeking a Quality Assurance Engineer to support a mission-focused federal IT program in Washington DC. Please Note: This position is contingent upon contract award. Join ...

Cross-check data against source of truth datasets to catch inconsistencies and drift * Validate ... Employment Type: FULL_TIME

Software Quality Assurance Engineer Location -Onsite Hybrid role Lincoln Massachusetts About ... data and internal team equity. Benefits We believe customer experience starts with employee ...

QA Engineer - Job Profile Location: Fort Lauderdale, FL We are seeking a QA Engineer to join our team and ensure the quality, reliability, and performance of our SaaS platform. This role requires ...

Our product is extremely sophisticated, with a metadata layer allowing for customer-specific data ... Dunwoody, Georgia Position Type: Full Time Compensation: Based on experience **Please note that ...

Fulltime, On-site Summary: The company's products include DC/DC converters, AC/DC inverters, solid-state power distribution, generator control, VPX, and rugged battery backup solutions. They offer a ...

Quality Assurance Engineer Pay range: $50-$60/hr Location: Valencia, CA Zip Code: 91355 Start Date ... quality/inspection data, partnering with production/inspection/manufacturing engineering, and ...

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Data Qa Engineer Full Time information

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$44.5K

$129.7K

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How much do data qa engineer full time jobs pay per year?

As of Jul 1, 2026, the average yearly pay for data qa engineer full time in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

What is the difference between Data Qa Engineer Full Time vs Data Analyst Full Time?

AspectData Qa Engineer Full TimeData Analyst Full Time
Primary FocusEnsuring data quality, testing data pipelines, validating data accuracyAnalyzing data to generate insights, creating reports, data visualization
Skills & CertificationsSQL, data testing tools, scripting, understanding of data workflowsSQL, data visualization tools, statistical analysis, Excel
Work EnvironmentData testing teams, QA departments, data engineering teamsBusiness units, analytics teams, data-driven departments

While both roles involve working with data, Data Qa Engineers focus on testing and ensuring data quality, whereas Data Analysts analyze data to support decision-making. They often collaborate but serve different functions within data projects.

What cities are hiring for Data Qa Engineer Full Time jobs? Cities with the most Data Qa Engineer Full Time job openings:
What are the most commonly searched types of Data Qa Engineer jobs? The most popular types of Data Qa Engineer jobs are:
What states have the most Data Qa Engineer Full Time jobs? States with the most job openings for Data Qa Engineer Full Time jobs include:

AI QA Engineer (Multilingual)

Scaled Cognition

Mountain View, CA • Remote

Full-time

Posted 19 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.