DESCRIPTION
AI is the most transformational technology of our time capable of tackling some of humanitys 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 humantechnology interaction with us.
PURPOSE OF THE JOB:
The Machine Learning Data Associate (MLDA) will raise the bar for data quality across the org through multiple workflows. Work closely with internal and external data partners to ensure we receive the best quality data for training and evaluation of our LLMs.
KEY RESPONSIBILITIES:
Performs straightforward tasks and procedures related to multiple ML data process areas.
Understands ML data workflows and data collection methodologies.
Verifies metrics (task system performance etc) accuracy and makes sure workflows are equally compliant.
Supports newtool onboarding (operationalized and bootstrapped interfaces).
Helps define requirements (e.g. tools training material guidelines data collection protocol quality check etc.
Identifies process variations in known work types and drives standardization.
2 years of experience working with data annotation and quality assurance
Significant practical engineering experience including a supervisory role managing people.
A Bachelors degree in a technical discipline (Industrial Electrical Mechanical Civil) from an accredited university or 2 years experience in an Amazon engineering team.
Multi skilled in both electrical and mechanical disciplines.
Experience of automated equipment including packaging machinery sortation and conveyor systems.
Excellent communications skills (written & verbal) in English and the local language.
Experience of working to appropriate health & safety standards and regulations.
Excellent computer skills (MS Office CAD).
Full working knowledge of all specialized engineering and facilities equipment within the FC as well as maintenance and safety procedures.
Experience working with PLC based control systems.
Project Management experience.
Knowledge of CMMS programmes.
Experience with Kaizen and Continuous Improvement Process.
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.
Amazon takes your personal data protection seriously and respects EU and local data protection laws. Unless you express otherwise by submitting your CV you authorize the hiring Amazon company to store your personal data in the electronic database maintained by Amazon Corporate LLC. in the USA or one of its affiliates for the purpose of assessing your suitability for this and future job vacancies and to pursue your recruiting process.
If at any time you want your personal data to be deleted you simply need to notify the hiring Amazon company. Amazon will not share your personal data with any third party without your prior consent. As part of your interview process with Amazon you may be asked to authorize the hiring Amazon company to separately verify your application data and personal background through a third party service provider.
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race national origin gender gender identity sexual orientation protected veteran status disability age or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees supervisors and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees supervisors and staff to ensure exceptional customer service; and follow all federal state and local laws and Company policies. Criminal history may have a direct adverse and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above as well as the abilities to adhere to company policies exercise sound judgment effectively manage stress and work safely and respectfully with others exhibit trustworthiness and professionalism and safeguard business operations and the Companys reputation. Pursuant to the Los Angeles County Fair Chance Ordinance we will consider for employment qualified applicants with arrest and conviction records.
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Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $40400/year in our lowest geographic market up to $86500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon payments and other forms of compensation may be provided as part of a total compensation package in addition to a full range of medical financial and/or other benefits. For more information please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.