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Data Annotation Jobs in Alabaster, AL (NOW HIRING)

Solid knowledge of data collection, preprocessing, and annotation for prompt development. * Familiarity with machine learning frameworks and libraries like TensorFlow, PyTorch, or Hugging Face.

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Data Annotation information

Is data annotation a legitimate?

Data annotation is a legitimate job that involves labeling data such as images, text, or audio to help train machine learning models. It is commonly performed remotely and requires attention to detail, basic technical skills, and familiarity with annotation tools. Many companies hire data annotators as part of their AI development teams.

What does a typical workday look like for someone in a Data Annotation role?

A typical workday as a Data Annotator involves reviewing datasets—such as images, audio, text, or video—and accurately labeling or categorizing information according to specific project guidelines. Most Data Annotators work independently, but they often collaborate with project managers or data scientists to clarify requirements and resolve ambiguities. Tasks may be repetitive, but adhering to precise standards is vital for maintaining data quality. Work environments can range from technology companies to remote or freelance settings, and advancement opportunities exist as team leads or quality assurance specialists for those who excel in consistency and reliability.

What is a Data Annotation job?

A Data Annotation job involves labeling and categorizing data, such as text, images, audio, or video, to help train machine learning models. Annotators apply tags, bounding boxes, or classifications to data based on specific guidelines. This process improves the accuracy of AI systems in recognizing patterns and making predictions. Many data annotation jobs require attention to detail and familiarity with specific domains. It is commonly used in applications like autonomous driving, natural language processing, and computer vision.

What are the key skills and qualifications needed to thrive in the Data Annotation position, and why are they important?

To thrive in Data Annotation, you need strong attention to detail, accuracy, and basic data handling skills, often supported by a high school diploma or equivalent. Familiarity with annotation platforms, data labeling software, or content management systems is frequently required, though specific certifications are rare. Excellent communication, time management, and the ability to focus on repetitive tasks distinguish top performers in this role. These skills are crucial because accurate and consistent data annotation directly impacts the quality of machine learning models and AI applications.

What does a data annotator do?

A data annotator labels and tags data such as images, text, or videos to help machine learning models understand and learn from the data. They use tools and follow guidelines to ensure accuracy and consistency, often working with large datasets in a structured environment. Attention to detail and knowledge of annotation tools are important for this role.

Do people actually make money on data annotation?

Data annotation jobs can provide a source of income, with pay rates varying based on the complexity of tasks, platform, and experience. Many annotators earn hourly or per-task wages, but earnings often depend on the volume of work completed and the employer's pay structure.

Is it hard to get hired for data annotation?

Getting hired for a data annotation role generally depends on the employer's requirements, such as attention to detail and basic computer skills. Many positions are entry-level and may not require prior experience or certifications, making them accessible to a wide range of applicants. However, competition can vary based on the number of available jobs and the quality of applicants.
What job categories do people searching Data Annotation jobs in Alabaster, AL look for? The top searched job categories for Data Annotation jobs in Alabaster, AL are:
What cities near Alabaster, AL are hiring for Data Annotation jobs? Cities near Alabaster, AL with the most Data Annotation job openings:
Infographic showing various Data Annotation job openings in Alabaster, AL as of June 2026, with employment types broken down into 1% As Needed, 87% Full Time, and 12% Part Time. Highlights an 45% Physical, 1% Hybrid, and 54% Remote job distribution.

Principle Machine Learning Engineer

Tocaro Blue

Birmingham, AL • Remote

$140K - $200K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 25 days ago


Job description

Principle Machine Learning Engineer

Location: Southeastern United States (Hybrid/Remote)

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.

As a Principal ML Engineer, you will be the lead architect of Radar (and secondary EO/IR) 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.

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.

What You’ll Pioneer

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

· $140,000 - $200,000 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

Flexible Work Environment

· Hybrid and remote options for Southeastern US-based candidates. Offices in Pensacola (FL), Birmingham (AL), and Atlanta (GA)

· 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.