Data Specialist at Kognic

Kognic AB; Göteborgs kommun; Hybrid; SEK 420,000 - 660,000; Full time

Benefits offered by this job

Hybrid work model

Team events

Health benefits

Job summary

Kognic AB is seeking a Data Specialist to sit at the technical core of our account teams, translating complex model requirements into annotation specifications for hundreds of annotators. You will own data quality, workflow design, and customer onboarding across AD/ADAS perception systems.

As part of a hybrid remote setup with weekly Gothenburg Office presence, you will collaborate with engineering, delivery, and account teams to ensure scalable, high-quality data solutions and strong customer

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Science, Automotive Engineering, Machine Learning, Information Systems, or a related field.
• Proven track record in customer-facing technical roles (demos, analyzing complex data requirements, and driving technical solutions).
• Deep experience in data quality or related fields, with a strong focus on AD/ADAS perception systems, sensor modalities, dataset design, and how annotated data impacts model training and safety.

Responsibilities

• Lead the technical setup of customer projects, acting as the primary authority on data quality, workflow design, and annotation requirements.
• Influence clients on how system safety objectives and KPIs translate into annotation context, quality benchmarks, and dataset designs.
• Serve as a technical bridge between customers, internal engineering teams, and delivery managers to address data challenges.
• Design and refine the quality assurance approach for accounts, balancing quality and productivity.

Skills

Coding experience

Customer facing

ADAS perception knowledge

Data quality

AI tooling

Education

Relevant degree

Tools

Hands-on coding

Job description

Do you want to play a key role in shaping the future of autonomous vehicles and Physical AI? Kognic is on a mission to make everything that moves autonomous. We are actively building strong momentum across target markets, and as our technical solutions scale, we are looking for a Data Specialist to join our Operations team.

The Role

As a Data Specialist, you will sit at the technical core of our account teams, working directly with leading automotive customers at the absolute forefront of AD/ADAS perception model development. You'll act as the primary technical expert, translating customers' complex model requirements into specifications precise enough for hundreds of annotators to apply consistently, at scale.

This role seamlessly blends deep domain expertise in autonomous perception with hands-on data workflow optimization, technical customer onboarding, and cross-functional collaboration. We are a team of Data Specialists working with various customers, sharing knowledge and best practices with one another. We work a hybrid remote setup with at least one day a week at the Gothenburg Office.

What You’ll Do

• Technical Ownership: Lead the technical setup of customer projects, serving as the primary authority on data quality, workflow design, and annotation requirements.
• Customer & Strategic Advisory: Influence clients on how system safety objectives and system KPIs translate into annotation context, quality benchmarks, and dataset designs.
• Cross-Functional Expertise: Act as a technical bridge between customers, internal engineering teams, and delivery managers to address customer-specific data challenges.
• Workflow Optimization: Design and refine the quality assurance approach for your accounts, deciding where the right level of quality sits while ensuring high productivity

Who You Are

You're an adaptable domain expert who draws energy from a multi-stakeholder environment. When priorities from different customers and internal teams compete for attention, you stay grounded and positive, using clear communication to align everyone around the right technical solution.

• Education: Bachelor’s or Master's degree in Computer Science, Data Science, Automotive Engineering, Machine Learning, Information Systems, or a related field.
• Customer Facing: Proven track record in customer-facing technical roles (conducting demos, analyzing complex data requirements, and driving technical solutions).
• Experience: Deep experience in data quality or related fields, with a strong focus on AD/ADAS perception systems. With deep knowledge of sensor modalities, dataset design, and how annotated data directly impacts model training and safety compliance.
• Technical Tools: Hands-on coding experience.
• Language Skills: Excellent written and spoken English. Chinese is an advantage.
• Meritorious: Experience using AI tools to simplify, automate, and optimize workflows or knowledge from manufacturing.

Why Kognic?

We are in it to win, and have a lot of fun while doing it! To be part of Kognic is to be part of a purpose-driven company with strong values where we, together, create what Kognic will be tomorrow. Besides working with around 100 talented and humble people from many different nationalities, in a fun and creative environment, we also have many other great benefits!

• Working in the exciting field of AI and playing an important part in the world’s next great technological leap
• A hybrid work model and an employer that prioritises life-work balance
• Lots of team and office events, parental pay, salary exchange, great health benefits, order your own computer, place your own pension - to name a few

From our early days as a pure start-up to our current life as a scale-up, we work in a dynamic environment, which means that every day might be different from the next, but that is exactly how we want it. Kognicians all have a strong desire to explore uncharted territory and a willingness to constantly be learning.

About Kognic

Kognic was conceived in the curious minds of Daniel Langkilde and Oscar Petersson, two engineering students, who dared to dream big and help machines make sense of our messy, chaotic, and unstructured world. Kognic's pioneering dataset management solution helps companies accelerate the development of high-performing and trusted AI products, focusing on bringing the most advanced driver‑assistance systems (ADAS) and autonomous driving (AD) to market.