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Overnight Ai Training Writer Jobs in Decatur, AL

Develop and operationalize MLOps pipelines (MLflow, Kubeflow, DVC, or custom training/inference ... Write clean, efficient Python code for data ingestion, feature engineering, embeddings, and ...

Develop and operationalize MLOps pipelines (MLflow, Kubeflow, DVC, or custom training/inference ... Write clean, efficient Python code for data ingestion, feature engineering, embeddings, and ...

Develop and operationalize MLOps pipelines (MLflow, Kubeflow, DVC, or custom training/inference ... Write clean, efficient Python code for data ingestion, feature engineering, embeddings, and ...

Develop and operationalize MLOps pipelines (MLflow, Kubeflow, DVC, or custom training/inference ... Write clean, efficient Python code for data ingestion, feature engineering, embeddings, and ...

Senior AI Engineer

Huntsville, AL ยท On-site

$103K - $141K/yr

This is a hands-on technical position that involves the development, training, and validation of AI ... Excellent written and verbal communication skills Responsibilities * Architect, design, develop ...

Senior AI Engineer

Huntsville, AL ยท On-site

$103K - $141K/yr

This is a hands-on technical position that involves the development, training, and validation of AI ... Excellent written and verbal communication skills Responsibilities * Architect, design, develop ...

Experience with fine-tuning, LoRA, or custom model training Tools & Technologies You should be ... Technical Craft - writes clean, tested, production-grade code * Learning Orientation - cares about ...

Develop and maintain AI systems, including data pipelines, model training, and deployment ... Collaborate with team to writing technical papers and white papers Essential job skills include:

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Overnight Ai Training Writer information

See Decatur, AL salary details

$12

$36

$61

How much do overnight ai training writer jobs pay per hour?

As of Jun 16, 2026, the average hourly pay for overnight ai training writer in Decatur, AL is $36.51, according to ZipRecruiter salary data. Most workers in this role earn between $27.02 and $44.18 per hour, depending on experience, location, and employer.

What are some common challenges faced by Overnight AI Training Writers, and how can they be addressed?

Overnight AI Training Writers often work independently during late hours, which can present challenges such as maintaining productivity and staying engaged without direct supervision. Additionally, they must ensure their writing is clear, unbiased, and aligned with specific AI training guidelines, often adapting to quickly changing project requirements. Effective time management, strong communication with remote team members, and setting up a comfortable, distraction-free work environment can help address these challenges. Utilizing regular check-ins and feedback loops with supervisors or fellow writers is also helpful for maintaining quality and motivation.

What are the key skills and qualifications needed to thrive as an Overnight AI Training Writer, and why are they important?

To thrive as an Overnight AI Training Writer, you need excellent writing and editing skills, strong attention to detail, and a background in linguistics, communications, or a related field. Familiarity with AI training platforms, content management systems, and tools like annotation software is typically required. Adaptability, time management, and clear communication are crucial soft skills to meet tight deadlines and collaborate effectively with remote teams. These skills ensure high-quality data generation and annotation, which directly impact the performance and reliability of AI models.

What is an Overnight AI Training Writer?

An Overnight AI Training Writer is a professional who creates, reviews, or edits written content used to train artificial intelligence models during overnight shifts. Their responsibilities often include generating high-quality text data, evaluating AI outputs, and ensuring that training materials meet specific guidelines. Working overnight allows companies to maintain 24/7 progress on AI development, making this role vital in fast-paced tech environments. These writers typically have strong language skills, attention to detail, and familiarity with AI or machine learning concepts.
What are the most commonly searched types of Ai Training Writer jobs in Decatur, AL? The most popular types of Ai Training Writer jobs in Decatur, AL are:
What job categories do people searching Overnight Ai Training Writer jobs in Decatur, AL look for? The top searched job categories for Overnight Ai Training Writer jobs in Decatur, AL are:
What cities near Decatur, AL are hiring for Overnight Ai Training Writer jobs? Cities near Decatur, AL with the most Overnight Ai Training Writer job openings:
Infographic showing various Overnight Ai Training Writer job openings in Decatur, AL as of June 2026, with employment types broken down into 98% Full Time, 1% Part Time, and 1% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $75,934 per year, or $36.5 per hour.
AI/ML Engineer

AI/ML Engineer

Frontier Technology Inc.

Huntsville, AL โ€ข Remote

Full-time

Posted 10 days ago


Job description

Overview

FTI Defense 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 Defense delivers mission-focused solutions to the Department of Defense/Depratment 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 security 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.

ย 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.

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Employment Type: FULL_TIME