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Data Qa Engineer Temp Jobs (NOW HIRING)

Credigy

Quality Assurance Engineer

Norcross, GA · On-site

Quality Assurance Engineer, Product Strategy Quality doesn't happen by accident - it takes someone ... Advanced SQL proficiency, including writing and optimizing queries, auditing production data ...

Xforia, Inc.

ETL QA

Data quality assurance Skills * 10+ year experience as big data/ETL QA engineer with expertise in API testing, and automation using Selenium, Jenkins, Git * 3+ year experience in testing CDP platform ...

Amicis Global

QA Engineer

Seattle, WA · On-site

Web Quality Assurance Engineer (Multiple Positions) Location: Seattle, WA (Onsite) Duration: 6+ Months Key job responsibilities • You'll build and maintain test infrastructure for a web product ...

Zero

QA Engineer

Portland, OR · On-site

The QA Engineer will work closely with the development and product teams to define test plans and ... Basic knowledge of SQL for data validation and verifying system behavior across backend services.

Cantor Fitzgerald Securities

QA Engineer

Manhattan, NY · On-site

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.

Redolent, Inc

QA Engineer

Sunnyvale, CA · On-site

One of our direct client is urgently looking for QA Engineer @ Sunnyvale, CA TITLE: QA Engineer LOCATION: Sunnyvale CA Duration: 6 to 12+ months Rate: DOE Duties: The QA Engineer will be responsible ...

BWX Technologies

QA Engineer

Barberton, OH

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

TekWissen LLC

Quality Assurance Engineer

Tampa, FL · On-site

$25 - $35/hr

Temporary Position Work Type: Onsite Summary The QA Engineer is responsible for ensuring the timely development, review, and approval of engineering, validation, and lifecycle documentation in ...

BWX Technologies

QA Engineer

Barberton, OH

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

ECS

Quality Assurance Engineer

Washington, DC · On-site

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 ...

CX Data Labs

QA Engineer

Dallas, TX · On-site

QA Engineer (Automation + Manual) Dallas, TX Fulltime Required Skills: * 5+ years of experience in Manual Testing with exposure to Automation . * Hands-on experience with tools like Selenium, Postman ...

Yrefy LLC

QA Engineer

Phoenix, AZ · On-site

QA Engineer Manual & Functional Testing Focused (NOT A REMTOTE POSITION) About the Role Invessio is ... Cross-check data against source of truth datasets to catch inconsistencies and drift * Validate ...

Scout ET

QA Engineer

New Brunswick, NJ

Job Title: QA Engineer (Manual and Automation) Location: New Brunswick, New Jersey. Duration: 1 ... Responsibilities: - Develop and execute test plans, test cases, test data, test scenarios, and ...

Wingbrace

Quality Assurance Engineer

Lincoln, MA · On-site

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

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

As of Jun 30, 2026, the average yearly pay for data qa engineer temp 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 are the most commonly searched types of Data Qa Engineer jobs? The most popular types of Data Qa Engineer jobs are:
Data Qa Engineer Temp jobs near you

AI QA Engineer (Multilingual)

Scaled Cognition

New York, NY • 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.