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Russian Data Annotation Manager Jobs in Alabama (NOW HIRING)

Manage annotation queues and human-in-the-loop feedback workflows * Analyze agent trajectories and ... Support test data management and test-environment stability * Report test results, evaluation ...

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Manage annotation queues and human-in-the-loop feedback workflows, routing interesting or ... Support test data management (including eval dataset versioning, splits, and provenance) and help ...

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Russian Data Annotation Manager information

What is a Russian data annotation manager?

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 the key skills and qualifications needed to thrive as a Russian data annotation manager?

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 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 popular job titles related to Russian Data Annotation Manager jobs in Alabama?

For Russian Data Annotation Manager jobs in Alabama, the most frequently searched job titles are:

What job categories do people searching Russian Data Annotation Manager jobs in Alabama look for?

The top searched job categories for Russian Data Annotation Manager jobs in Alabama are:

What cities in Alabama are hiring for Russian Data Annotation Manager jobs?

Cities in Alabama with the most Russian Data Annotation Manager job openings:

Senior Machine Learning Engineer

Tocaro Blue

Birmingham, AL • On-site

$130K - $162K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 16 days ago


Key responsibilities

  • Build and deploy ML models for object detection, semantic segmentation, and tracking in maritime environments.

  • Organize dataset design, data collection in real and simulated environments, and synthetic augmentation of radar and camera datasets.

  • Collaborate with engineering teams to ensure ML outputs integrate into multi-target tracking and SLAM pipelines.


Job description

Transform Maritime Intelligence with Cutting-Edge AI/ML

Are you an experienced machine learning researcher ready to push the limits of AI in one of the toughest domains—maritime autonomy? At Tocaro Blue, your expertise in designing, training, and deploying custom ML models will directly advance our foundational perception stack, ProteusCore radar tracking and ApolloCore radar/camera fusion.

As a Senior Machine Learning Engineer, you will build ML models for object detection, semantic segmentation, and tracking. You’ll design algorithms capable of distinguishing vessels, land, shoreline constructions, wakes, and markers in dynamic maritime environments where off-the-shelf models fall short. You will be responsible for organizing dataset design, data collection in real and simulated environments, and synthetic augmentation of radar and camera datasets.

Your work will fuel products used by:

· Defense customers developing USVs/ASVs for the U.S. Navy.

· Commercial OEMs bringing advanced marine ADAS and autopilot features to market.

This role is an opportunity to define the ML foundations of maritime autonomy—where perception evolves from situational awareness, to navigation assistance, to full autonomy.

Core ML and Autonomy Innovation

· Invent and refine custom deep learning architectures for Radar and EO/IR imagery, with an emphasis on semantic segmentation and temporal tracking

· Develop multi-stage ML pipelines (context + characteristic models, segmentation + classification) tailored to low-SNR Radar returns

· Train models on proprietary large-scale datasets (millions of Radar samples and camera sequences) with design-of-experiment methods for data collection and annotation

· Optimize and deploy models to resource-constrained edge hardware (CPU-only and ARM64 platforms), including C++ inference layers

· Advance fusion-aware ML models that integrate Radar with EO/IR, AIS, and cartography for robust classification in GPS-denied or cluttered environments

· Collaborate with fusion and autonomy engineers to ensure ML outputs integrate seamlessly into multi-target tracking and SLAM pipelines

· Contribute to ML-Ops workflows: data management, large-scale training, continuous integration of new field data, and automated evaluation pipelines

What Sets You Apart

Essential Qualifications

· Advanced degree (MS/PhD) in Electrical Engineering, Computer Science, Robotics, or related field

· 7+ years applying machine learning and signal processing to real-world dynamic systems (graduate research counts if directly applicable)

· Demonstrated mastery of semantic segmentation and object classification models, ideally applied to non-vision sensor modalities

· Expert-level Python skills with ML frameworks (TensorFlow/Keras, PyTorch, or equivalent)

Preferred Expertise

· Track record of developing ML models beyond standard YOLO-style detectors, particularly for segmentation of noisy or sparse data (Radar, sonar, or medical imaging)

· Strong background in computer vision and temporal modeling (CNNs, transformers, RNNs for sequential sensor data)

· Experience deploying ML to embedded/edge platforms with optimized C++ inference

· Knowledge of marine, automotive, or aerial robotics systems

· Contributions to large-scale ML data pipelines: annotation strategies, dataset balancing, simulation-to-real transfer

· Passion for pushing the boundaries of AI in GPS-denied, cluttered, and low-visibility environments

Why Tocaro Blue?

Competitive Compensation & Growth

· Competitive base salary with potential equity in a rapidly growing company

· Comprehensive benefits: 401(k) with 4% company matching, full health/dental/vision, life & disability insurance, generous PTO

· Continuous learning via conferences, training, and professional growth

Innovation-First Culture

· Direct impact on defining the AI backbone of maritime autonomy

· Work on problems unsolved in automotive AI: Radar segmentation, maritime multi-object tracking, sensor fusion in GPS-denied waters

· Collaborative environment with elite engineers and researchers

Exciting Work Environment

· Full-time, in person Birmingham (AL)

· Hands-on field validation through semi-monthly data collection trips at our Pensacola test facility

· A culture that balances innovation with personal growth

Equal Opportunity & Eligibility

Tocaro Blue, LLC is an equal opportunity employer, and we value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Individual offers are based are made based on skill and experience, geographic location, as well as role, responsibility, and leadership within the company, and other due diligence. Our hiring team will try to determine whether each candidate fits the job description and may choose, at their discretion, to redirect a candidate to another job offering that is more appropriate.

All employees must be eligible to obtain a U.S. Department of Defense security clearance. With few exceptions, this is restricted to U.S. citizens and legal permanent residents (a.k.a. current Green Card Holders). Tocaro Blue LLC is not able to sponsor work visas nor permanent resident cards ("green cards") for this role.