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Russian Data Annotation Manager Jobs in Forney, TX

Tesla

Data Labeler Manager

Dallas, TX · On-site

... and own annotation policies that require an understanding of both technical and operational ... Data Labelers, and accurately manage timekeeping Qualifications : Required : • Experience ...

HumanSignal

Delivery Lead

Dallas, TX · Remote

$110K - $140K/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 ...

HumanSignal

High Volume (TOFU) Recruiter

Dallas, TX · On-site +1

$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 ...

AgileEngine

Taxonomy Analyst ID76178

Dallas, TX · On-site

... management, content classification, data validation, or data labeling/annotation; - Strong analytical skills, exceptional attention to detail, and sharp pattern recognition abilities; - Proven ...

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All JobsRussian Data Annotation JobsRussian Data Annotation Manager JobsRussian Data Annotation Manager Jobs in Forney, TX

Russian Data Annotation Manager information

See Forney, TX salary details

$27.9K

$87.5K

$154.9K

How much do russian data annotation manager jobs pay per year?

As of Jul 27, 2026, the average yearly pay for russian data annotation manager in Forney, TX is $87,514.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,500.00 and $113,100.00 per year, depending on experience, location, and employer.

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.

What job categories do people searching Russian Data Annotation Manager jobs in Forney, TX look for? The top searched job categories for Russian Data Annotation Manager jobs in Forney, TX are:
What cities near Forney, TX are hiring for Russian Data Annotation Manager jobs? Cities near Forney, TX with the most Russian Data Annotation Manager job openings:
Russian Data Annotation Manager jobs near you
Technical Product Manager (Data Collection & Pipeline)

Technical Product Manager (Data Collection & Pipeline)

Caterpillar

Irving, TX • On-site

$160K - $185K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 8 days ago

Caterpillar Inc. rating

7.5

Company rating: 7.5 out of 10

Based on 474 frontline employees who took The Breakroom Quiz

264th of 486 rated machine equipment manufacturers

Job description

Career Area:
Technology, Digital and Data
Job Description:
Your Work Shapes the World at Caterpillar Inc.
When you join Caterpillar, you're joining a global team who cares not just about the work we do - but also about each other. We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We don't just talk about progress and innovation here - we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it.
Job Summary:
As the Technical Product Manager for Data Collection & Pipeline, you will be responsible for defining and executing the strategy, roadmap, and delivery of data products that enable AI, machine learning, analytics, and autonomous systems development. This role owns the end-to-end data ecosystem, including data collection, data acquisition strategies, annotation and labeling operations, data quality frameworks, and scalable data pipelines.
What You Will Do:
Maximize the value of enterprise data assets and define work for multiple scrum teams supporting data collection, labeling, quality, and pipeline initiatives. Collaborate with Product Owners, System Engineering, Data Scientists, Machine Learning Engineers, Data Architects, Analytics Architects, and Platform Architects to own and progressively elaborate functional and non-functional Epics and Features for Development Teams to deliver. The Technical Product Manager is empowered to make all decisions regarding the Data Product Backlog.
  • Responsible for creating, maintaining, and prioritizing the Data Product Backlog according to business value, data readiness needs, model performance requirements, and operational priorities for the life of the product.
  • Act as the key decision-maker regarding data collection capabilities, labeling workflows, data quality requirements, and pipeline functionality.
  • Owns definition of acceptance criteria for data products, features, datasets, and platform capabilities.
  • Responsible for defining data collection strategies that support AI, machine learning, analytics, and software product development.
  • Lead prioritization of data acquisition, sensor data collection, simulation data generation, and data sourcing initiatives.
  • Drive development and optimization of labeling and annotation workflows
  • Partner with engineering teams to define and deliver scalable data ingestion, transformation, validation, storage, and delivery pipelines.
  • Establish and monitor data quality metrics, governance standards, and operational KPIs to ensure datasets meet customer and business requirements.
  • Represent internal and external customers by understanding data requirements and translating them into actionable product capabilities.
  • Communicates data platform releases, roadmap updates, and capability enhancements to stakeholders and customers.
  • Employee is also responsible for performing other job duties as assigned by Caterpillar management from time to time.

What You Will Have:
  • Business Analysis: Knowledge of business analysis and the set of tasks, techniques, and tools required to identify business and data needs; ability to recommend solutions that deliver value to stakeholders through scalable data products and services.
  • Decision Making and Critical Thinking: Knowledge of the decision-making process and associated tools and techniques; ability to accurately analyze data-related challenges and reach productive decisions based on informed judgment, balancing quality, cost, scalability, and business value.
  • Effective Communications: Understanding of effective communication concepts, tools, and techniques; ability to effectively transmit, receive, and accurately interpret ideas, information, and needs across engineering, data science, operations, leadership, vendors, and customers
  • Data Product Business Knowledge: Knowledge of and experience with the business aspects and operation of data products and platforms; ability to manage data assets, current uses, future requirements, and long-term data strategy.
  • Data Collection and Labelling Operations: Knowledge of data collection methodologies, data acquisition strategies, annotation and labeling workflows, data quality management, and operational processes required to create high-quality datasets.
  • Data Engineering and Pipeline Development: Knowledge of data engineering methodologies, modern data architectures, ETL/ELT processes, cloud-based data platforms, and scalable data pipeline best practices.

Consideration For Top Candidates:
  • Lead enterprise-scale data programs from strategy development through roadmap execution and operationalization.
  • At least 8 years of experience in Product Management, Technical Product Management, Data Product Management, or related software leadership roles.
  • Experience defining and executing data collection, data acquisition, labeling, and data pipeline strategies.
  • Strong understanding of dataset lifecycle management, data quality frameworks, governance, and operational metrics.
  • Experience working closely with Data Engineering, Machine Learning, Analytics, and Platform teams.
  • Data analytics and commercializing data products or APIs.

Additional Details:
  • This position requires the candidate to work full-time at the Irving, TX office (Dallas)
  • Domestic relocation assistance is available for this position.
  • Visa sponsorship is NOT available with this position.

Summary Pay Range:
$128,470.00 - $208,770.00
Compensation and benefits offered may vary depending on multiple individualized factors, job level, market location, job-related knowledge, skills, individual performance and experience. Please note that salary is only one component of total compensation at Caterpillar.
Benefits:
Subject to plan eligibility, terms, and guidelines. This is a summary list of benefits.
  • Medical, dental, and vision benefits*
  • Paid time off plan (Vacation, Holidays, Volunteer, etc.)*
  • 401(k) savings plans*
  • Health Savings Account (HSA)*
  • Flexible Spending Accounts (FSAs)*
  • Health Lifestyle Programs*
  • Employee Assistance Program*
  • Voluntary Benefits and Employee Discounts*
  • Career Development*
  • Incentive bonus*
  • Disability benefits
  • Life Insurance
  • Parental leave
  • Adoption benefits
  • Tuition Reimbursement

* These benefits also apply to part-time employees
This position requires working onsite five days a week.
Relocation is available for this position.
Visa Sponsorship is not available for this position.
Posting Dates:
July 20, 2026 - August 3, 2026
Any offer of employment is conditioned upon the successful completion of a drug screen.
Caterpillar is an Equal Opportunity Employer, Including Veterans and Individuals with Disabilities. Qualified applicants of any age are encouraged to apply.
Not ready to apply? Join our Talent Community.

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