Description
- - 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
- - 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.
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 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 6541.66 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 6541.66 PLN miesięcznie.
- - 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
- - 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.
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 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 6541.66 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 6541.66 PLN miesięcznie.
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