Data Quality Analyst
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 11h ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 30d ago
The date the source published, not the day we noticed it (2026-09-02). Last seen at its source 3h ago.
We have tracked this listing since 24 Sep 2026 (7 days). The employer's own board has carried it every time we have read it, most recently 3 hours ago.
Is it remote?
The listing says yes
The location field doesn't say remote, so our assessment is based on the title or the description. Read the listing before applying.
Who may apply?
United States
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay $105k–183.0k/yr
Middle 50% of 1105 listings that do state pay — Operations · all levels · United States · USD/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
-
workday employer's own board first seen 7d ago · last seen 3h ago
- location not stated
The listing
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Job Responsibilities:
The ideal candidate will have a foundational understanding of machine learning, data annotation, quality assurance, and natural language processing. They will play a pivotal role in updating our machine learning models and ensuring their efficacy.MAIN TASKS & RESPONSIBILITIES
Machine Learning Model Updates:
- Update training and test model databases with new or amended synthetic textual and image data.
- Modify and refine machine learning data creation, annotation, and rating guidelines.
Model Training and Evaluation:
- Initiate model training processes using internal tools and command-line interfaces.
- Evaluate the performance of trained models to gauge their efficacy and readiness for deployment.
Data Management and Annotation:
- Design and develop test and training datasets as per the criteria provided by the project manager and other full-time employees.
- Handle data efficiently, ensuring its integrity throughout the workflow.
- Engage in data relevance tasks, ensuring data sets are aligned with project goals.
- Annotate data accurately, ensuring it adheres to set guidelines.
Quality Assurance and Analysis:
- Conduct manual quality analysis of model results.
- Recognize error patterns and report anomalies for further investigation.
- Deliver detailed reports on findings, including aspects such as utterance quality, LLM evaluation, ASR bug tracking, and customer pain points to be reviewed by the User Experience Research team.
- Implement basic quality control measures and ensure the reliability of processed data.
- Utilize intermediate data analysis techniques to extract insights and inform decision-making.
- Arbitrate discrepancies effectively, ensuring consistent data quality.
Linguistic and NLP Tasks:
- Apply basic knowledge of natural language processing and linguistics to data processing tasks.
- Ensure linguistic accuracy in all processed and annotated data.
REQUIREMENTS
Preferred Qualifications:
- Bachelor's degree in Computer Science, Data Science, Linguistics or Computational Linguistics or a related field.
Experience:
- Ability to work in a fast-paced, collaborative environment.
- Excellent communication skills
Skills & Knowledge:
- Familiarity with command-line tools and interfaces.
- Strong analytical skills with the ability to identify patterns and anomalies.
Additional Information:
This role primarily focuses on English US data sets; however, familiarity with translation or multi-lingual data sets can be a plus for future projects.
Additional Job Details: