ML Data Linguist, Alexa AI
Seattle, Washington, USA
Full Time Mid-level / Intermediate USD 40K - 86K
Amazon.com
Free shipping on millions of items. Get the best of Shopping and Entertainment with Prime. Enjoy low prices and great deals on the largest selection of everyday essentials and other products, including fashion, home, beauty, electronics, Alexa...
Amazon is seeking a Machine Learning Data Linguist to join our Alexa AI team. This role focuses on language data, primarily in the areas of text annotation and general data analysis deliverables.
The ML Data Linguist must have a passion for data, efficiency, accuracy, and should be capable of:
- Handling unique data analysis requests from a range of data customers
- Providing data quality expertise to other team members and coaching improvements
- Delivering high quality work in a fast-paced environment
- Working autonomously with minimum direction
- Building a thorough understanding of conventions and providing support to global sites
- Understanding changes to conventions deployed in response to customers’ requests and modifying workflows accordingly
- Contributing to process improvements to reduce handling time and improve output
- Improving software tools by identifying bugs and suggesting enhancements
- Diving deep into issues and implementing solutions independently
- Proactively addressing issues and problems
- Keeping up with changing project conventions and priorities
Key job responsibilities
- Label, generate, and ensure the quality of datasets.
- Work closely with ML Data Linguists and scientists to understand data ambiguities and resolve issues in annotation guidelines.
- Conduct in-depth qualitative error trend analysis, developing action plans to enhance data quality.
- Collaborate with ML Data Linguists, scientists, and Ops Managers to drive innovation in processes, tracking, and annotation workflows.
A day in the life
Most days are spent collecting requirements from customers, collaborating with peers and stakeholders to complete deliverables, and recommending process improvements.
About the team
The work that we do is confidential, but we are a highly collaborative team who obsess over our internal and external customers.
- Bachelor’s degree
- Experience working with written language data, including experience with annotation and other forms of data markup
- Professional English language proficiency
- Working knowledge of Microsoft Office products (e.g. Word, Excel, Access, etc.)
- Interest in semantics and related areas
- Ability to navigate a Unix terminal and use common command line tools
- Ability to perform basic scripting and data manipulation tasks in Python
- Ability to quickly grasp technical concepts and learn in-house data processing tools
- Strong analytical, problem-solving, and critical-thinking skills
- Practical knowledge of data processing needs and trade-offs
- Detail-oriented with excellent communication and strong organizational skills
- Team player with exceptional interpersonal skills and a solution-oriented attitude
- Comfortable working in a fast-paced, highly-collaborative, dynamic work environment
- Willingness to support several projects at one time and to accept reprioritization as necessary
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, 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 Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $40,400/year in our lowest geographic market up to $86,500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on 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 https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
The ML Data Linguist must have a passion for data, efficiency, accuracy, and should be capable of:
- Handling unique data analysis requests from a range of data customers
- Providing data quality expertise to other team members and coaching improvements
- Delivering high quality work in a fast-paced environment
- Working autonomously with minimum direction
- Building a thorough understanding of conventions and providing support to global sites
- Understanding changes to conventions deployed in response to customers’ requests and modifying workflows accordingly
- Contributing to process improvements to reduce handling time and improve output
- Improving software tools by identifying bugs and suggesting enhancements
- Diving deep into issues and implementing solutions independently
- Proactively addressing issues and problems
- Keeping up with changing project conventions and priorities
Key job responsibilities
- Label, generate, and ensure the quality of datasets.
- Work closely with ML Data Linguists and scientists to understand data ambiguities and resolve issues in annotation guidelines.
- Conduct in-depth qualitative error trend analysis, developing action plans to enhance data quality.
- Collaborate with ML Data Linguists, scientists, and Ops Managers to drive innovation in processes, tracking, and annotation workflows.
A day in the life
Most days are spent collecting requirements from customers, collaborating with peers and stakeholders to complete deliverables, and recommending process improvements.
About the team
The work that we do is confidential, but we are a highly collaborative team who obsess over our internal and external customers.
Basic Qualifications
- Bachelor’s degree
- Experience working with written language data, including experience with annotation and other forms of data markup
- Professional English language proficiency
- Working knowledge of Microsoft Office products (e.g. Word, Excel, Access, etc.)
Preferred Qualifications
- Bachelor’s degree in Linguistics or Computational Linguistics- Interest in semantics and related areas
- Ability to navigate a Unix terminal and use common command line tools
- Ability to perform basic scripting and data manipulation tasks in Python
- Ability to quickly grasp technical concepts and learn in-house data processing tools
- Strong analytical, problem-solving, and critical-thinking skills
- Practical knowledge of data processing needs and trade-offs
- Detail-oriented with excellent communication and strong organizational skills
- Team player with exceptional interpersonal skills and a solution-oriented attitude
- Comfortable working in a fast-paced, highly-collaborative, dynamic work environment
- Willingness to support several projects at one time and to accept reprioritization as necessary
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, 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 Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $40,400/year in our lowest geographic market up to $86,500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on 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 https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
Job stats:
0
0
0
Categories:
Deep Learning Jobs
Machine Learning Jobs
Tags: Data analysis Data quality Excel Linguistics Machine Learning Python
Perks/benefits: Career development Equity / stock options
Region:
North America
Country:
United States
More jobs like this
Explore more career opportunities
Find even more open roles below ordered by popularity of job title or skills/products/technologies used.
BI Developer jobsPrincipal Data Engineer jobsData Engineer II jobsStaff Data Scientist jobsSr. Data Engineer jobsPrincipal Software Engineer jobsStaff Machine Learning Engineer jobsData Manager jobsData Science Manager jobsData Science Intern jobsDevOps Engineer jobsSoftware Engineer II jobsJunior Data Analyst jobsBusiness Intelligence Analyst jobsData Analyst Intern jobsBusiness Data Analyst jobsLead Data Analyst jobsStaff Software Engineer jobsData Specialist jobsSenior Backend Engineer jobsSr. Data Scientist jobsAI/ML Engineer jobsData Governance Analyst jobsData Engineer III jobsAccount Executive jobs
Consulting jobsAirflow jobsOpen Source jobsMLOps jobsEconomics jobsKPIs jobsLinux jobsTerraform jobsJavaScript jobsNoSQL jobsRDBMS jobsKafka jobsData Warehousing jobsGoogle Cloud jobsGitHub jobsComputer Vision jobsPostgreSQL jobsScikit-learn jobsPhysics jobsClassification jobsData warehouse jobsBanking jobsStreaming jobsHadoop jobsR&D jobs
dbt jobsLooker jobsScala jobsOracle jobsBigQuery jobsPandas jobsRAG jobsPrompt engineering jobsReact jobsGPT jobsCX jobsPySpark jobsDistributed Systems jobsScrum jobsIndustrial jobsELT jobsJira jobsRedshift jobsMicroservices jobsRobotics jobsSalesforce jobsLangChain jobsSAS jobsJenkins jobsOpenAI jobs