$102K - $128K/yr
Oversee contractors and internal employees responsible for ML annotation tasks, robot teleoperation ... Track and manage the budget for the overall team. * Plan shift assignments based on data demand and ...
New
$102K - $128K/yr
Oversee contractors and internal employees responsible for ML annotation tasks, robot teleoperation ... Track and manage the budget for the overall team. * Plan shift assignments based on data demand and ...
New
Manage data integrity and access permissions within PDM/CDE environments. * Plan and coordinate ... equivalent, annotation styles, title blocks, and periodic standards audits. * Strong QA/QC ...
Quick apply
Manage data integrity and access permissions within PDM/CDE environments. * Plan and coordinate ... equivalent, annotation styles, title blocks, and periodic standards audits. * Strong QA/QC ...
$28.2K - $39.8K
7% of jobs
$39.8K - $51.5K
8% of jobs
$59.3K is the 25th percentile. Wages below this are outliers.
$51.5K - $63.1K
14% of jobs
$63.1K - $74.7K
18% of jobs
The median wage is $76.8K / yr.
$74.7K - $86.4K
15% of jobs
$86.4K - $98K
7% of jobs
$106.8K is the 75th percentile. Wages above this are outliers.
$98K - $109.7K
7% of jobs
$109.7K - $121.3K
6% of jobs
$121.3K - $133K
6% of jobs
$133K - $144.6K
4% of jobs
$144.6K - $156.3K
6% of jobs
$28.2K
$88.3K
$156.3K
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.
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.
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.
$102K - $128K/yr
Other
Medical, Dental, Vision, Retirement, PTO
Posted 2 days ago
New
Boston Dynamics is a world leader in mobile robots, tackling some of the toughest robotics challenges. We combine the principles of dynamic control and balance with sophisticated mechanical designs, cutting-edge electronics, and next-generation software for high-performance robots equipped with perception, navigation, and intelligence.
The RMAC team plays a critical role in advancing this mission by delivering high-impact capabilities that enable scalable, reliable, and cutting-edge applications across our platforms. The Data Operations team on the Atlas Robot is responsible for collecting new data to train Atlas's brain. Individuals on the team will teleoperate robots, wear sensors while performing tasks, and other techniques. We are seeking a Second Shift Supervisor, who will be responsible for the execution of a team of Data Operations associates from 2:30pm - 11pm weekdays. Key KPIs for this role include hours of data collected/shift, yield and quality rate of data collected, and ensuring strong safety and operational excellence.
What you'll do in this role:
Oversee contractors and internal employees responsible for ML annotation tasks, robot teleoperation, and building data assets.
Establish clear documentation for onboarding and training teams involved in data-related processes through structured learning programs and on-the-floor coaching.
Develop and track KPIs for data quality, efficiency, and failure causes.
Interface directly with ML researchers and engineers to understand data requirements
Proactively identify bottlenecks and inefficiencies in the data pipeline, and work with Engineering and IT to develop improved solutions.
Track and manage the budget for the overall team.
Plan shift assignments based on data demand and personnel and equipment availability.
Ensure adherence to safety protocols.
Build and maintain physical space in cooperation with facilities and IT.
Analyze and report shift performance to other stakeholders.
Develop and deploy new SOPs as needed.
Trial new software, hardware, or processes.
What a candidate should bring:
Prior experience coaching and optionally managing individuals in a professional environment such as retail, construction, manufacturing, or logistics.
Data analysis skills, such as reviewing KPIs, building or using dashboards, and constructing spreadsheets.
Strong written and verbal communication skills. Email, chat, Jira, slide decks, and documents will all be part of the workflow.
Demonstrated history of operational excellence and continuous improvement.
Ideal candidates will have prior exposure to robotics, VR, and/or networking and IT technology.
Ideal candidates will also have experience with Google Workspace, Jira, and other tools
