AI Data Associate with French, AGI-Data Services

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

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, discounts for meals at the company’s canteen, employee discount code and program (EDC/Extras), 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 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 PLN miesięcznie.

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.