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AI Data Annotation Specialist (French), AGI-Data Services

ID: 4900

Type: Full-time

Category: Others

Company Name: Amazon MLS Poland Sp. z o.o. - K69

Location: POL, Gdansk - Gdańsk - Poland

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Job Description

AI is the most transformational technology of our time, capable of tackling some of humanity’s most challenging problems. Amazon is investing in generative AI and the responsible development and deployment of large language models (LLMs) across all of our businesses. Come build the future of human-technology interaction with us.

We are looking for those candidates who just don’t think out of the box, but make the box they are in ‘Bigger’. The future is now, do you want to be a part of it? Then read on!

Key job responsibilities
- Maintain and follow strict confidentiality as customer privacy is our most important tenet
- Work with a range of different types of data including, but not limited to: text, speech, audio, image, and video
- Deliver high-quality labelled data, using guidelines provided to meet our KPIs and using in-house tools and software, as part of Amazon's commitment to developing and deploying AI responsibly.
- Demonstrate proficiency in generating high quality human insight data across a range of modalities, inclusive of text, image video and audio.
- Capable of making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks.
- Eye for detail and ability to pivot from one category of requirement to another instantaneously.
- Demonstrate support on daily operational deliverables for multiple task types assigned to you and the team
- Analyze root causes, identify error patterns, and propose solutions to enhance the quality of labeling tasks and their outputs.
- Responsible for identifying day-to-day process and operational issues in Standard Operating Procedure, tools and suggest changes to unblock operations
- Demonstrate ownership in floor support to clarify internal queries during execution on need basis



A day in the life
We are looking for a ML Data Associate (MLDA) to undertake the task of foundational labeling functions, such as dialogue evaluation on speech, text, audio, video data.

Your ability to concentrate, multi-task and your high attention to detail helps you deliver high-quality work as well as maintaining strict confidentiality and follow all applicable Amazon policies for securing confidential information. You will be a part of a diverse team with the shared vision of improving customers’ lives with practical, useful generative AI innovations. An inner drive, individuality, and a creative mind are extremely beneficial.

About the team
The team works strictly in the office Monday through Friday. We are constantly looking for ways to improve our capabilities and deliver the best product possible. Diverse team, regular meetings, trainings, and Amazon events throughout the year await you.

The minimum base pay salary for this position is listed below. As a total compensation company, Amazon's package may include further pay components such as performance bonuses, where applicable. Your recruiting team will share final base pay and any applicable total compensation elements depending on skills and requirements.Company discretionary, supplementary benefits apply subject to further terms, including pension plans, health insurance, life and disability insurance, business travel insurance, MultiSport card, employee discount code and program (EDC/Extras), commuter benefits where applicable, and the Employee Assistance Program (private and confidential counselling and referral service to support health and well-being).The minimum base pay for this position is PLN 7.916.66 monthly.

Wynagrodzenie podstawowe dla tego stanowiska jest wskazane poniżej. Amazon kieruje się zasadą całkowitego wynagrodzenia, w związku z czym oprócz wynagrodzenia zasadniczego mogą być przewidziane dodatkowe składniki wynagrodzenia, takie jak premie (w odpowiednich przypadkach). Zespół rekrutacyjny poinformuje Cię o ostatecznej kwocie wynagrodzenia zasadniczego oraz o wszystkich przysługujących dodatkowych składnikach wynagrodzenia, w zależności od umiejętności i wymagań.Dodatkowe świadczenia przysługują na warunkach obowiązujących w Spółce i obejmują m.in. plany emerytalne, dodatkowe ubezpieczenie zdrowotne, dodatkowe ubezpieczenie na życie, ubezpieczenie podróży służbowych, kartę MultiSport, kod rabatowy dla pracowników i program zniżek pracowniczych (EDC/Extras), dotacje dla osób dojeżdżających (w odpowiednich przypadkach) oraz Program Wsparcia Pracownika (EAP – prywatne i poufne doradztwo i wsparcie).Wynagrodzenie podstawowe dla tego stanowiska wynosi 7,916.66 PLN miesięcznie.

Basic Qualifications

- An Associate’s Degree or related work experience
- - C1+ or equivalent fluency in French language
- - Good working knowledge (B2+) in both spoken and written English
- - Strong business writing skills with ability to create reports, proposals, and professional correspondence
- - Advanced reading comprehension with ability to analyze complex business documents
- - Developed analytical thinking and structured problem-solving capabilities
- - Strong ability to interpret and implement detailed instructions across various projects
- - Proficient research skills with experience gathering and synthesizing information from multiple sources
- - Proven attention to detail in managing complex tasks and documents

Preferred Qualifications

- Bachelor’s degree in a relevant field
- 2+ years of professional work experience with demonstrated task execution ability
- Proven capacity to leverage open-source resources effectively for comprehensive research purposes
- Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy
- 2-3 years project coordination or management experience (for support functions teams)
- Experience managing stakeholder relationships across departments
- Advanced proficiency in Microsoft Office Suite and common business applications.
- - Bachelor’s degree in a relevant field
- - 2+ years of professional work experience with demonstrated task execution ability
- - Proven capacity to leverage open-source resources effectively for comprehensive research purposes
- - Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy
- - 2-3 years project coordination or management experience (for support functions teams)
- - Experience managing stakeholder relationships across departments
- - Advanced proficiency in Microsoft Office Suite and common business applications.

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Company Information

Company Name: Amazon MLS Poland Sp. z o.o. - K69

Company Website: https://aws.amazon.com

Company Address: POL, Gdansk

Amazon Web Services (AWS) is the cloud computing subsidiary of Amazon.com, Inc., operating as a global provider of on-demand cloud infrastructure, platform services, and application-level tools. Launched in 2006, AWS offers a broad and continually expanding portfolio of services that enable organizations of all sizes to run virtually any type of workload in the cloud, from basic hosting and storage to advanced machine learning (ML), analytics, and large-scale distributed systems. AWS’s core value proposition is to provide scalable, pay-as-you-go computing resources and managed services that reduce the operational burden on customers, accelerate time to market for new products, and enable cost optimization through flexible consumption models. Core business activities - Infrastructure-as-a-Service (IaaS): AWS provides foundational compute, storage and networking resources that customers can provision and scale on demand. Key compute services include Amazon Elastic Compute Cloud (EC2) and container services such as Amazon Elastic Kubernetes Service (EKS) and Amazon Elastic Container Service (ECS). Storage and data persistence services include Amazon Simple Storage Service (S3), Amazon Elastic Block Store (EBS), and Amazon FSx for managed file systems. - Platform and Database Services: AWS offers fully managed database services (Amazon Relational Database Service — RDS, Amazon Aurora, Amazon DynamoDB for NoSQL), caching (Amazon ElastiCache), and serverless compute (AWS Lambda) to help developers build and run applications without managing underlying infrastructure. - Machine Learning and Artificial Intelligence: AWS provides a comprehensive ML portfolio that spans infrastructure for model training and inference, managed ML platforms and developer-facing AI services. Amazon SageMaker is the primary managed service for building, training, tuning, and deploying machine learning models at scale. In addition, AWS offers pre-built AI services for vision (Amazon Rekognition), language (Amazon Comprehend, Amazon Translate, Amazon Polly), and conversational interfaces (Amazon Lex). - Data Analytics and Big Data: AWS supplies a range of analytics services including Amazon Redshift (data warehousing), Amazon EMR (managed Hadoop/Spark), AWS Glue (ETL), and streaming services like Amazon Kinesis to support real-time data ingestion and processing. - Security, Identity and Compliance: AWS provides security services and frameworks for identity and access management (AWS IAM), encryption, key management (AWS KMS), monitoring and logging (Amazon CloudWatch, AWS CloudTrail), and compliance tooling to help customers meet regulatory requirements. - Developer Tools and Application Integration: A broad set of developer-centric tools (AWS CodeCommit, CodeBuild, CodeDeploy, CodePipeline) and integration services (Amazon Simple Notification Service — SNS, Simple Queue Service — SQS, EventBridge) support CI/CD, microservices architectures, and event-driven applications. - Managed Edge and IoT Services: Services for edge computing and IoT device management (AWS IoT Core, AWS Greengrass) enable low-latency and distributed compute use cases. Main products or services AWS’s product catalog is extensive; the most widely used and recognizable offerings include Amazon EC2, Amazon S3, AWS Lambda, Amazon RDS, Amazon DynamoDB, Amazon SageMaker, Amazon Redshift, Amazon VPC (virtual private cloud), and AWS Identity and Access Management. Beyond foundational compute/storage/database offerings, AWS provides specialized services for analytics, machine learning, security, developer tooling, migration, media processing, and industry-specific solutions. Amazon ML Solutions Lab and related ML initiatives AWS operates programs such as the ML Solutions Lab (often referred to as “ML Solutions Lab” or “MLS Lab”) that pair AWS machine learning experts with customers to accelerate ML adoption and help build proof-of-concepts and production ML systems. These programs are designed to combine customer domain expertise with AWS technical knowledge, covering model prototyping, data strategy, MLOps (machine learning operations), and deployment strategies using AWS services such as SageMaker, AWS Glue, and related analytics tools. Global footprint and regional operations AWS is a global infrastructure provider organized into geographic Regions and Availability Zones to enable low-latency access, high availability and fault tolerance. AWS continually invests in new regions, edge locations, and local offices to support customers worldwide. For customers in Poland and across Europe, AWS supports deployments by providing services from nearby European regions and by maintaining local sales, professional services, partner ecosystems, and training programs. AWS works with local governments, enterprises, startups, and academic institutions to support cloud adoption, skills development, and compliance with regional data protection rules. Customers, partners and ecosystem AWS serves millions of active customers across startups, large enterprises, public sector organizations, research institutions and independent software vendors. The AWS Partner Network (APN) comprises consulting and technology partners who provide migration, application development, managed services, and specialized industry solutions on AWS. AWS’s marketplace and partner ecosystem enable customers to access third-party software and services optimized for AWS. Mission and approach (as stated in official AWS materials) AWS’s stated approach centers on enabling customers to innovate faster by delivering flexible, secure, and cost-effective cloud services. AWS emphasizes a customer-obsessed culture, continuous delivery of new services and features, and a responsibility to provide secure and compliant infrastructure for customer workloads. Use cases and industries AWS supports a wide array of use cases including web and mobile applications, enterprise IT modernization, high-performance computing, data lakes and analytics, ML-driven personalization and forecasting, content delivery and media processing, IoT solutions, and regulated workloads for healthcare, finance, and government. AWS’s capability set and partner ecosystem enable tailored architectures to meet industry-specific requirements. Summary Amazon Web Services is a leading cloud platform providing a deep and broad set of infrastructure and managed services that enable organizations to build, run, and scale applications in the cloud. Its offerings include core compute, storage and database services; a wide range of analytics and machine learning products (notably SageMaker and ML-focused programs such as the ML Solutions Lab); security and governance tools; and developer and migration services. AWS’s global infrastructure and partner ecosystem support localized operations in Europe, including customer engagement and technical enablement in Poland and neighboring markets.
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