ZipRecruiter

Log In

2

Remote Ai Data Trainer Jobs in Decatur, AL (NOW HIRING)

PingWind

AI Solution Engineer- Ops

Huntsville, AL · On-site +1

Minimum of 4 years of experience in data science, analytics engineering, ML, operations, or AI Hybrid: 3 days of onsite/ 2 days remote Position Description This position supports the Golden Dome ...

PingWind

AI Solution Engineer- Ops

Huntsville, AL · On-site +1

Minimum of 4 years of experience in data science, analytics engineering, ML, operations, or AI Hybrid: 3 days of onsite/ 2 days remote Position Description This position supports the Golden Dome ...

Pae

Data Architect IRES - HSV

Redstone Arsenal, AL · On-site +1

$65 - $83.75/hr

None available at this time Remote/Telework: NO Clearance Type: DoD Secret Shift: Day shift Travel ... Must be familiar with MBSE and incorporating AI into legacy systems to streamline data output

Celestica

Senior Devops AI tools Engineer

Huntsville, AL · Remote

$123.90K - $159.20K/yr

Req ID: 135521 Remote Position: Yes Region: Americas Country: USA Summary The DevTestOps engineer ... Solid understanding of data structures, algorithms, and operating systems, and large software ...

DataAnnotation

Corporate Development Manager

Huntsville, AL · Remote

$40 - $60/hr

... AI, while enjoying the flexibility of remote work and the freedom to set your own schedule. This ... Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises ...

next page

Showing results 1-20

People also search for

All JobsRemote Ai Data Trainer JobsRemote Ai Data Trainer Jobs in Decatur, AL

Remote Ai Data Trainer information

See Decatur, AL salary details

$12

$29

$59

How much do remote ai data trainer jobs pay per hour?

As of Jun 4, 2026, the average hourly pay for remote ai data trainer in Decatur, AL is $29.29, according to ZipRecruiter salary data. Most workers in this role earn between $18.70 and $33.37 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote AI Data Trainer, and why are they important?

To thrive as a Remote AI Data Trainer, you need strong analytical skills, attention to detail, and experience in data annotation or evaluation, often supported by a background in computer science, linguistics, or a related field. Familiarity with data labeling platforms, AI training tools, and sometimes programming languages like Python is typically required. Excellent communication, self-motivation, and the ability to work independently are key soft skills for remote collaboration and consistent performance. These skills ensure high-quality data preparation, accurate AI model training, and effective teamwork in distributed environments.

What are some typical challenges Remote AI Data Trainers face when working with diverse datasets?

Remote AI Data Trainers often work with datasets that vary greatly in structure, quality, and subject matter. One common challenge is ensuring consistency and accuracy while annotating or labeling data, especially when guidelines are complex or ambiguous. Additionally, working remotely requires strong communication skills to collaborate effectively with data scientists, project managers, and other trainers. Staying organized and managing time efficiently are crucial since trainers might juggle multiple projects or deadlines. Regular feedback sessions and adherence to detailed documentation help overcome these challenges and maintain high-quality output.

What is a Remote AI Data Trainer?

A Remote AI Data Trainer is a professional who works from a remote location to help train artificial intelligence systems by preparing, labeling, and reviewing data sets. This role often involves annotating images, text, audio, or video to ensure AI models learn correctly from quality data. Remote AI Data Trainers may also evaluate the performance of AI outputs and provide feedback for improvements. They typically work with machine learning engineers and data scientists to support the development of accurate and ethical AI systems.
What job categories do people searching Remote Ai Data Trainer jobs in Decatur, AL look for? The top searched job categories for Remote Ai Data Trainer jobs in Decatur, AL are:
What cities near Decatur, AL are hiring for Remote Ai Data Trainer jobs? Cities near Decatur, AL with the most Remote Ai Data Trainer job openings:
Remote Ai Data Trainer jobs near you
AI/ML Engineer

AI/ML Engineer

Frontier Technology Inc.

Huntsville, AL • Remote

$140K - $220K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Overview

Frontier Technology Inc. (FTI) is seeking a hands-on AI/ML Engineer to design, build, and deploy advanced machine learning solutions supporting defense and national security missions. This role focuses on execution in oversight, ideal for an engineer who thrives in the code, enjoys building end-to-end pipelines, and takes pride in seeing their work directly impact operational systems.

FTI delivers mission-focused solutions to the Department of Defense/Department of War (DoD/DoW) and Intelligence Community (IC) through advanced engineering, digital transformation, and program execution expertise. We help our customers solve complex challenges and achieve mission success by integrating people, process, and technology.

Responsibilities
  • Design, develop, and deploy AI/ML models and pipelines that meet mission and performance objectives.
  • Build, train, and fine-tune models using frameworks such as PyTorch, TensorFlow, scikit-learn, Hugging Face, and LangChain.
  • Develop and operationalize MLOps pipelines (MLflow, Kubeflow, DVC, or custom training/inference orchestration).
  • Implement and optimize vector databases (Milvus, Pinecone, Chroma, FAISS) and retrieval architectures (RAG, graph, hybrid).
  • Write clean, efficient Python code for data ingestion, feature engineering, embeddings, and inference services.
  • Experiment with fine-tuning and optimization of LLMs and task-specific models (LoRA, QLoRA, PEFT).
  • Contribute to agent-based applications using frameworks like LangGraph, AutoGen, CrewAI, or DSPy.
  • Integrate AI services into real-world systems via APIs, event-driven workflows, or UI copilots.
  • Collaborate with data engineers, software developers, and mission analysts to ensure AI models are production-ready and aligned with customer needs.
  • Participate in peer reviews, contribute to shared repositories, and document models and experiments for reproducibility.
Education/Qualifications

Minimum Requirements:

  • Must be a U.S. citizen and be willing to obtain and maintain a secruity clearance, as needed.
  • 6-10+ years of professional experience developing and deploying AI/ML solutions in production environments.

  • Minimum of 3 years' professional experience within the Department of Defense/Department of War (DoD/DoW) AI assurance, security, and deployment environments.

  • Strong Python development skills with hands-on experience building AI/ML solutions.
  • Direct experience with ML frameworks such as PyTorch, TensorFlow, scikit-learn, Hugging Face, or LangChain.
  • Proven ability to build and deploy MLOps pipelines using MLflow, Kubeflow, DVC, or equivalent.
  • Working knowledge of vector databases (Milvus, Pinecone, Chroma, FAISS) and retrieval-based architectures (RAG, hybrid, graph).
  • Professional experience fine-tuning and evaluating LLMs or smaller task-specific models using LoRA, QLoRA, or PEFT.
  • Professional experience integrating AI capabilities into production systems or mission applications.

 Preferred Qualifications:

  • Familiarity with agentic frameworks (LangGraph, AutoGen, CrewAI, DSPy) and multi-agent reasoning.
  • Understanding of prompt engineering, retrieval quality, and grounding methods.
  • Exposure to GPU-based or edge inference environments.
  • Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related technical field.
  • Active Secret clearance preferred; ability to obtain one is required.

For this role, the compensation range is $140k-$220k.

*Note: Starting pay will be based on a number of factors and commensurate with the candidate's residence location, qualifications & experience.

#LI-SB1

#LI-Remote

Employment Type: FULL_TIME

Apply