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Mistral AI
Mistral AI

Leading company in the artificial intelligence industry

Code Data Quality Specialist

RoleData Engineering
LevelMid Level
LocationParis
WorkOn-site
TypeFull-time
Posted1 week ago
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About Mistral

At Mistral we are on a mission to democratize AI, producing frontier intelligence for everyone, developed in the open, and built by engineers all over the world. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation, with teams distributed between Europe, the USA and Asia.

We are creative, low-ego and team-spirited.At Mistral, we develop models for the enterprise and for consumers, focusing on delivering systems which can really change the way in which businesses operate and which can integrate into our daily lives. All while releasing frontier models open-source, for everyone to try and benefit.

Mistral is hiring experts in the training of large language models and distributed systems. Join us to be part of a pioneering company shaping the future of AI.

Role Summary We’re seeking highly motivated Data Quality Specialists with strong analytical skills and a keen eye for detail to join our Human Data Annotation team within the Science organisation.

This is a hybrid quality reviewing and tooling role: you'll spend the majority of your time reviewing and auditing code annotations against rubrics to ensure data used for training and evaluating AI models meets a high bar, and the remainder building, maintaining, and troubleshooting the internal tooling that annotators rely on day-to-day.

You'll collaborate closely with the annotators, technical program manager, and engineer stakeholders, and contribute to refining the guidelines and processes that shape how our data is produced.

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About Mistral AI

Mistral AI

Mistral AI

Series B

Mistral AI SAS is a French artificial intelligence (AI) company, headquartered in Paris. Founded in 2023, it has open-weight large language models (LLMs), with both open-source and proprietary AI models. As of 2025 the company has a valuation of more than US$14 billion.

51-200

Employees

Paris

Headquarters

$6.0B

Valuation

Reviews

10 reviews

3.8

10 reviews

Work-life balance

2.8

Compensation

4.0

Culture

4.2

Career

3.5

Management

2.5

72%

Recommend to a friend

Pros

Supportive team and collaborative environment

Good learning opportunities and mentorship programs

Excellent benefits and competitive compensation

Cons

Poor management and lack of leadership direction

Work-life balance issues and heavy workload

High stress environment and burnout

Salary Ranges

36 data points

Senior/L5

Senior/L5 · Solution Architect

1 reports

$273,000

total per year

Base

$210,000

Stock

-

Bonus

-

$273,000

$273,000

Interview experience

1 interviews

Difficulty

3.0

/ 5

Duration

21-35 weeks

Interview process

1

Application Review

2

Recruiter Screen

3

Technical Interview

4

Research Discussion

5

Team Matching

6

Offer

Common questions

Machine Learning/AI Concepts

Research Experience

Technical Knowledge

Coding/Algorithm

Behavioral/STAR