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Hourly Remote Data Annotation Jobs in Alabama (NOW HIRING)

Ecolab

Sr Project Sales Accelerator

Mobile, AL · Remote

$107K - $161K/yr

... computer skills/data management, ability to gain instant credibility, good in relating at all ... This is a remote role, with someone ideally being located in the Southern part of the US near a ...

Pae

Mid-Level Scheduler IRES - HSV

Redstone Arsenal, AL · On-site +1

None available at this time Remote/Telework: NO Clearance Type: DoD Secret Shift: Day shift Travel ... Compensation Details: $95,000 - $120,000 The compensation range or hourly rate listed for this ...

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Hourly Remote Data Annotation information

What are the key skills and qualifications needed to thrive as an Hourly Remote Data Annotation Specialist, and why are they important?

To excel as an Hourly Remote Data Annotation Specialist, you need strong attention to detail, accuracy, and familiarity with data labeling concepts, often supported by a high school diploma or equivalent. Proficiency with annotation platforms, labeling tools (like Labelbox or Supervisely), and sometimes basic knowledge of spreadsheets or image/video editing software is typically required. Reliability, time management, and clear communication are vital soft skills for succeeding in a remote, deadline-driven environment. These abilities ensure high-quality, consistent annotations that are critical for training AI models and meeting project requirements.

What are some common challenges faced by hourly remote data annotation workers and how can they be addressed?

Hourly remote data annotation workers often encounter challenges such as repetitive tasks, maintaining high accuracy, and managing time effectively without direct supervision. To address these, it's important to establish a structured daily routine, take regular breaks to prevent fatigue, and utilize any quality control guidelines provided by the employer. Staying in regular communication with team leads or project managers can also help clarify any ambiguities and ensure consistent work quality.

What is the difference between Hourly Remote Data Annotation vs Hourly Remote Data Labeling?

AspectHourly Remote Data AnnotationHourly Remote Data Labeling
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote, flexible hoursRemote, flexible hours
Industry UsageCommon in AI/ML projects for training dataCommon in AI/ML projects for training data
Job FocusAdding annotations to data (e.g., bounding boxes, tags)Assigning labels to datasets for model training

Both roles involve working remotely to prepare data for machine learning models. Data annotation typically involves marking specific features within data, while data labeling involves categorizing data into predefined classes. The skills and work environment are similar, making them closely related but distinct tasks within AI data preparation.

What is hourly remote data annotation?

Hourly remote data annotation involves labeling or categorizing data, such as images, text, or audio, for use in machine learning and artificial intelligence projects. Annotators work from home and are usually paid by the hour to review and tag data according to specific guidelines provided by the employer. This work is essential for training algorithms to recognize patterns or interpret information accurately. Data annotation tasks vary and can include image classification, text categorization, or identifying objects within media. It’s a popular entry-level remote job that requires attention to detail and the ability to follow instructions closely.
What are the most commonly searched types of Remote Data Annotation jobs in Alabama? The most popular types of Remote Data Annotation jobs in Alabama are:
What are popular job titles related to Hourly Remote Data Annotation jobs in Alabama? For Hourly Remote Data Annotation jobs in Alabama, the most frequently searched job titles are:
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Hourly Remote Data Annotation jobs near you
Earth Science Software Engineer (ES4)

Earth Science Software Engineer (ES4)

Pae

Huntsville, AL • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 10 days ago

Job description

We are seeking a highly motivated and skilled Earth Science Software Engineer to support the cloud infrastructure, data pipelines, and web applications for two research teams at NASA's Marshall Space Flight Center: the Short-term Prediction Research and Transition (SPoRT) project and the Disasters Team.

This position will serve as the technical bridge between scientific discovery and operational deployment. The selected candidate will design, automate, and maintain the data processing and software systems that allow critical Earth observation and meteorological data to flow from NASA satellites to real-time decision-makers. Whether optimizing Infrastructure-as-Code (IaC) for SPoRT's real-time weather research or building out Python/GIS automation for the new AWS-based Disasters Portal, you will ensure NASA's science products are resilient, scalable, and highly available for global societal benefit.

Note, a candidate must be a U.S. citizen to apply.

Responsibilities

The Earth Science Software Engineer will split their time between the SPoRT and Disasters teams, serving as the critical bridge between scientific discovery and operational deployment. This role focuses on software development, data pipeline design, and the transition of research into production environments.

Data Pipelines & Processing Automation

  • Design End-to-End Pipelines: Develop and automate robust Python-based data processing pipelines for the ingestion, formatting, and metadata curation of real-time satellite feeds and high-volume geospatial datasets.
  • Standardize GIS Workflows: Partner with NASA Earthdata GIS to design and automate GIS-based data dissemination protocols, web services, and SpatioTemporal Asset Catalogs (STAC), enabling the seamless integration of derived scientific products into public-facing web environments.

Putting Science Code into Production (Research-to-Operations)

  • Software Implementation: Support the implementation, optimization, and scaling of scientific code and atmospheric models developed by researchers, ensuring they are stable and performing as intended in production.
  • Streamline Delivery: Utilize containerization and automated workflows to transition research code from local developer workstations into reliable, cloud-native operational architectures.

Real-Time Visualizations & Web Tools

  • Develop Visualization Software: Build and maintain software for real-time data visualization and web applications that convey critical weather products and hazards data to the public and stakeholders.
  • Portal Integration: Contribute technical expertise to building out data handling solutions that feed directly into the new AWS-based Disasters Portal, maximizing data accessibility and responsiveness.

Documentation & Collaboration

  • Open Science Documentation: Create clear documentation, including intuitive Jupyter Notebooks, for internal team reference, system architecture, and curated training modules for external stakeholders.
  • Cross-Team Integration: Actively engage with NASA scientists, engineers, and external end-users (such as the National Weather Service) to align software capabilities with evolving research and operational needs.

Education

  • Degree in Earth Science, Atmospheric Science, Meteorology, Computer Science, Software Engineering, Information Systems, Remote Sensing or a related technical field from an ABET-accredited university.
  • 10+ years' experience with a Bachelor's degree.
  • 8+ years' experience with a Master's degree.

Desired Technical Experience

  • Python Proficiency: Extensive experience with Python for data processing and automation, including the scientific stack (Pandas, NumPy, Dask).
  • GIS Automation: Deep understanding of OGC web service standards (WMS, WFS, WMTS) and experience programmatically automating service delivery using large scale remotely sensed data.
  • Version Control & Workflows: Strong command of Git/GitHub, branching strategies, and collaborative code reviews.
  • Linux Environment: Solid experience with the Linux command line and shell scripting (Bash) for navigating research environments.
  • Cloud & Infrastructure: Experience deploying applications in AWS environments and utilizing Infrastructure as Code (IaC) tools (Terraform, Ansible, or CloudFormation).

Additional Experience:

  • Containerization: Experience using Docker or Singularity to containerize data pipelines and scientific software.
  • Front-End Development: Ability to create user interfaces for web apps (familiarity with React or the NASA Horizon standard is a major plus).

#ASED #CodePlus #Amentum

Compensation Details:

ES4

The compensation range or hourly rate listed for this position is provided as a good-faith estimate of what the company intends to offer for this role at the time this posting was issued. Actual compensation may vary based on factors such as job responsibilities, education, experience, skills, internal equity, market data, applicable collective bargaining agreements, and relevant laws.

Benefits Overview:

Our health and welfare benefits are designed to support you and your priorities. Offerings include:

  • Health, dental, and vision insurance

  • Paid time off and holidays

  • Retirement benefits (including 401(k) matching)

  • Educational reimbursement

  • Parental leave

  • Employee stock purchase plan

  • Tax-saving options

  • Disability and life insurance

  • Pet insurance

Note: Benefits may vary based on employment type, location, and applicable agreements. Positions governed by a Collective Bargaining Agreement (CBA), the McNamara-O'Hara Service Contract Act (SCA), or other employment contracts may include different provisions/benefits.

Original Posting:

07/06/2026 - 07/31/2026

Amentum anticipates this job requisition will remain open for at least three days, with a closing date no earlier than three days after the original posting. This timeline may change based on business needs.

Amentum is proud to be an Equal Opportunity Employer. Our hiring practices provide equal opportunity for employment without regard to race, sex, sexual orientation, pregnancy (including pregnancy, childbirth, breastfeeding, or medical conditions related to pregnancy, childbirth, or breastfeeding), age, ancestry, United States military or veteran status, color, religion, creed, marital or domestic partner status, medical condition, genetic information, national origin, citizenship status, low-income status, or mental or physical disability so long as the essential functions of the job can be performed with or without reasonable accommodation, or any other protected category under federal, state, or local law. Learn more about your rights under Federal laws and supplemental language atLabor Laws Posters.

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