Data Labeler Manager
Draper, UT · On-site
... and own annotation policies that require an understanding of both technical and operational ... Data Labelers, and accurately manage timekeeping Qualifications : Required : • Experience ...
Data Labeler Manager
Draper, UT · On-site
... and own annotation policies that require an understanding of both technical and operational ... Data Labelers, and accurately manage timekeeping Qualifications : Required : • Experience ...
$55K - $100K/yr
Our customers ship better AI, faster, because we partner with their researchers from real-world data creation to annotation to delivery. We design and create datasets from scratch, recruit and manage ...
$55K - $100K/yr
Our customers ship better AI, faster, because we partner with their researchers from real-world data creation to annotation to delivery. We design and create datasets from scratch, recruit and manage ...
Qualified Medical & Community Bilingual Interpreter Utah
Murray, UT · On-site
$23 - $27/hr
Interpretation Duties: - Facilitate accurate flowing communication - Ensure comprehension - Manage ... Other common Non-Spanish/Portuguese Languages (Russian, Arabic, etc.): +$2/hr * Rare languages ...
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Qualified Medical & Community Bilingual Interpreter Utah
Murray, UT · On-site
$23 - $27/hr
Interpretation Duties: - Facilitate accurate flowing communication - Ensure comprehension - Manage ... Other common Non-Spanish/Portuguese Languages (Russian, Arabic, etc.): +$2/hr * Rare languages ...
... annotation, file setup, and sheet generation * Ability to read and interpret survey data, ROW ... Strong organizational and time management skills; able to meet deadlines without close supervision
... annotation, file setup, and sheet generation * Ability to read and interpret survey data, ROW ... Strong organizational and time management skills; able to meet deadlines without close supervision
... annotation, file setup, and sheet generation * Ability to read and interpret survey data, ROW ... Strong organizational and time management skills; able to meet deadlines without close supervision
... annotation, file setup, and sheet generation * Ability to read and interpret survey data, ROW ... Strong organizational and time management skills; able to meet deadlines without close supervision
... annotation, file setup, and sheet generation * Ability to read and interpret survey data, ROW ... Strong organizational and time management skills; able to meet deadlines without close supervision
... annotation, file setup, and sheet generation * Ability to read and interpret survey data, ROW ... Strong organizational and time management skills; able to meet deadlines without close supervision
... annotation, file setup, and sheet generation * Ability to read and interpret survey data, ROW ... Strong organizational and time management skills; able to meet deadlines without close supervision
... annotation, file setup, and sheet generation * Ability to read and interpret survey data, ROW ... Strong organizational and time management skills; able to meet deadlines without close supervision
Russian Data Annotation Manager information
What is a Russian Data Annotation Manager job?
A Russian Data Annotation Manager oversees the process of labeling and annotating data in the Russian language for machine learning and AI projects. They manage teams of annotators, ensure data quality, and optimize workflows to meet project requirements. This role requires fluency in Russian, attention to detail, and experience with annotation tools. Additionally, they collaborate with engineers and linguists to refine annotation guidelines for accurate model training.
What are some common challenges faced by Russian Data Annotation Managers, and how do they overcome them?
Russian Data Annotation Managers often encounter challenges related to maintaining consistency and accuracy across large, multilingual annotation teams, especially when dealing with nuanced language data. They address these issues by developing clear guidelines, conducting regular quality checks, and providing ongoing training to annotators. Collaboration with data scientists, project managers, and quality assurance personnel is also important to quickly resolve ambiguities and implement feedback. By fostering open communication and setting clear expectations, managers help ensure project standards are met and team members feel supported.
What are the key skills and qualifications needed to thrive in the Russian Data Annotation Manager position, and why are they important?
To thrive as a Russian Data Annotation Manager, you need fluency in Russian, experience with data annotation processes, and strong organizational abilities, often supported by a background in linguistics, computer science, or a related field. Familiarity with annotation platforms, data labeling tools, and project management software is commonly required. Leadership, attention to detail, and effective communication are key soft skills that help excel in managing diverse annotation teams. These skills are essential for ensuring high-quality data outputs and efficient project delivery in multilingual technology environments.
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Tesla rating
8.5
Based on 679 frontline employees who took The Breakroom Quiz
1st of 44 rated automakers
Job description
Job Summary:
Tesla is a leading company in the electric vehicle and AI space, seeking a Data Labeler Manager to oversee a team responsible for annotating data for their AI software. The role involves managing performance, ensuring data integrity, and collaborating with engineering teams to enhance the efficiency of data labeling operations.
Responsibilities:
• Conduct ongoing performance management: create coaching plans, track progress, conduct monthly 1:1’s, and complete monthly analyst reports
• Evaluate daily performance in proprietary software to report daily summaries and team metrics to ensure the team is consistently exceeding expectations
• Work directly with engineers and Tesla AI leadership and own annotation policies that require an understanding of both technical and operational constraints
• Have a solid understanding of project guidelines to be able to communicate labeling concepts effectively, labeling inefficiencies, assist in creating documentation and training materials
• Execute proper headcount allocation between quality control, labeling, and prioritize job queues daily as directed by leadership
• Ensure documentation and daily planning for the team is accurate and consistently updated
• Ensure team alignment with company policies
• Other supervisory duties such as employee development, conducting bi-yearly performance reviews and monthly performance check-ins with Team Leads and Data Labelers, and accurately manage timekeeping
Qualifications:
Required:
• Experience managing and motivating medium-sized teams that perform manual operations
• Ability to manage time efficiently, prioritizing tasks by order of precedence and completing in a timely manner
• Proven record of accomplishments executing and meeting sensitive deadlines with experience managing multiple competing projects with limited resources
• Strong problem-solving skills, with an aptitude for quickly learning systems with minimal training and can adapt in an ambiguous environment
• Effective communication and presentation skills - can explain complicated topics and ideas in a clear and concise manner
• Commitment to data accuracy and throughput
Company:
Tesla is an electric vehicle and clean energy company that provides electric cars, solar, and renewable energy solutions. Founded in 2003, the company is headquartered in Austin, USA, with a team of 10001+ employees. The company is currently Late Stage.
Tesla is a leading company in the electric vehicle and AI space, seeking a Data Labeler Manager to oversee a team responsible for annotating data for their AI software. The role involves managing performance, ensuring data integrity, and collaborating with engineering teams to enhance the efficiency of data labeling operations.
Responsibilities:
• Conduct ongoing performance management: create coaching plans, track progress, conduct monthly 1:1’s, and complete monthly analyst reports
• Evaluate daily performance in proprietary software to report daily summaries and team metrics to ensure the team is consistently exceeding expectations
• Work directly with engineers and Tesla AI leadership and own annotation policies that require an understanding of both technical and operational constraints
• Have a solid understanding of project guidelines to be able to communicate labeling concepts effectively, labeling inefficiencies, assist in creating documentation and training materials
• Execute proper headcount allocation between quality control, labeling, and prioritize job queues daily as directed by leadership
• Ensure documentation and daily planning for the team is accurate and consistently updated
• Ensure team alignment with company policies
• Other supervisory duties such as employee development, conducting bi-yearly performance reviews and monthly performance check-ins with Team Leads and Data Labelers, and accurately manage timekeeping
Qualifications:
Required:
• Experience managing and motivating medium-sized teams that perform manual operations
• Ability to manage time efficiently, prioritizing tasks by order of precedence and completing in a timely manner
• Proven record of accomplishments executing and meeting sensitive deadlines with experience managing multiple competing projects with limited resources
• Strong problem-solving skills, with an aptitude for quickly learning systems with minimal training and can adapt in an ambiguous environment
• Effective communication and presentation skills - can explain complicated topics and ideas in a clear and concise manner
• Commitment to data accuracy and throughput
Company:
Tesla is an electric vehicle and clean energy company that provides electric cars, solar, and renewable energy solutions. Founded in 2003, the company is headquartered in Austin, USA, with a team of 10001+ employees. The company is currently Late Stage.