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Hourly Remote Tensorflow Developer Jobs (NOW HIRING)

SOSi

Senior Data Scientist

OR · On-site +1

Azure Data Scientist Associate, or TensorFlow Developer Certification. Additional Information Work Environment * Full remote flexibility. Working at SOSi All interested individuals will receive ...

SOSi

Senior Data Scientist

OR · Remote

Azure Data Scientist Associate, or TensorFlow Developer Certification. Additional Information Work Environment * Full remote flexibility. Working at SOSi All interested individuals will receive ...

Delan Associates, Inc

AI Lead Engineer (Remote)

Dallas, TX · Remote

$104K - $138K/yr

AI Lead Engineer Dallas, TX (REMOTE) 15+ Years Must-Have Skills * Artificial Intelligence (AI ... TensorFlow * PyTorch * Scikit-learn * Data Preprocessing & Feature Engineering * Model Training ...

PROLIM Global Corporation

AI Software Developer

Minneapolis, MN(Remote) As a AI Software Developer, you will design and implement advanced AI/ML ... Proficiency in Python and AI frameworks (TensorFlow, PyTorch). Experience with cloud platforms ...

SME Careers

Radiologist

$327K - $409K/yr

Radiology AI Content Developer MD/DO (or equivalent) with completed Radiology residency (Diagnostic ... Reliable, self-directed, and able to deliver consistent quality in an hourly, remote contractor ...

Navier

MBA Internship

Alameda, CA · On-site +1

$17 - $22.75/hr

... Engineering). * 3+ years of full-time experience in consulting, venture capital, finance, or a ... Compensation is global (fixed) , not hourly. Remote-friendly role, with occasional opportunities to ...

ICF

On Call Critical Minerals Expert - Remote

Washington, DC · On-site +1

$20.50 - $21/hr

Senior Critical Minerals Expert (On-Call, Part-Time/Hourly/Remote) Are you a critical minerals and ... Bachelor's degree in a relevant field such as mining engineering, geology, metallurgical/materials ...

Statheros

Hands-on experience with frameworks like TensorFlow, PyTorch, or JAX. * Technical Skills : * Strong ... Remote work location. * Competitive salary. * Flexible work schedule. * Opportunities for ...

Huzzle

AI Engineer - Remote

You'll work closely with product, engineering, and data teams to create intelligent systems that ... Strong experience with Python and AI/ML frameworks such as TensorFlow, PyTorch, LangChain, or ...

1 point system

Machine Learning Engineer

Fort Mill, SC · Remote

$48/hr

... W2 (hourly) Complete JD: Job Title Machine Learning Engineer Location Remote Rate $48/hr on W2 Must Haves: Neaural networks NLP Python AZURE Pytorch or tensorflow Machine Learning Engineer / AI ...

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How much do hourly remote tensorflow developer jobs pay per hour?

As of Aug 25, 2026, the average hourly pay for hourly remote tensorflow developer in the United States is $52.84, according to ZipRecruiter salary data. Most workers in this role earn between $40.38 and $64.66 per hour, depending on experience, location, and employer.

What is an hourly remote TensorFlow developer?

An Hourly Remote Tensorflow Developer is a software professional who specializes in building and deploying machine learning models using TensorFlow, an open-source AI framework. They work on a contract or freelance basis, charging by the hour, and perform their tasks entirely remotely. Their responsibilities often include designing neural networks, data preprocessing, model training, and optimization to solve various business problems. By working remotely, they can collaborate with teams and clients from anywhere in the world, providing flexible and scalable machine learning solutions.

What are the key skills and qualifications needed to thrive as an hourly remote TensorFlow developer?

To thrive as an Hourly Remote TensorFlow Developer, you need a solid background in computer science, proficiency in Python, and hands-on experience with machine learning frameworks like TensorFlow. Familiarity with version control systems (e.g., Git), cloud platforms (such as AWS or GCP), and TensorFlow-specific certifications can be highly beneficial. Strong problem-solving, self-motivation, and clear communication skills are crucial for effective remote collaboration and project delivery. These competencies enable developers to efficiently build, deploy, and maintain machine learning models while meeting client requirements in a remote work environment.

What challenges can hourly remote TensorFlow developers expect when collaborating with distributed teams?

As an Hourly Remote TensorFlow Developer, you’ll often collaborate with cross-functional teams spread across different time zones and backgrounds. One common challenge is maintaining clear communication, especially when troubleshooting complex machine learning models or integrating code. It’s important to document your work thoroughly and leverage asynchronous communication tools to keep everyone aligned. Regular check-ins and code reviews also help to ensure smooth collaboration and high-quality deliverables.

What are the most commonly searched types of Remote Tensorflow Developer jobs?

The most popular types of Remote Tensorflow Developer jobs are:

Hourly Remote Tensorflow Developer jobs near you
Infographic showing various Hourly Remote Tensorflow Developer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 48% Full Time, 46% Part Time, 1% Temporary, 3% Contract, and 1% Nights. Highlights an 98% Physical, and 2% Remote job distribution, with an average salary of $109,905 per year, or $52.8 per hour.

Senior Data Scientist

OR • On-site, Remote

SOSi
See more jobs at SOSiexternal

Full-time

Re-posted 9 days ago

Job description

Company Description
Founded in 1989, SOSi is among the largest private, founder-owned technology and services integrators in the defense and government services industry. We deliver tailored solutions, tested leadership, and trusted results to enable national security missions worldwide.
Job Description
SOSi is seeking a Senior Data Scientist to support mission requirements for a structured approach to further develop, integrate, and sustain a scalable, federated data ecosystem that enhances interoperability, governance, and mission-driven analytics for a DoD customer. The primary objective of the program is to bridge the operational gaps between DoD, IC, interagency, and non-traditional international partners to enable real-time information sharing, dynamic data integration, and mission-tailored analytical capabilities.
Essential Job Duties:
  • The contractor shall design and implement advanced ML models and statistical methods to optimize forecasting, risk assessment, and decision-making processes.
  • The contractor shall conduct data provenance tracking, ensuring documentation of sources, transformations, and lineage for compliance with governance policies.
  • The contractor shall submit the Data Provenance & Lineage Report, summarizing transformation workflows, feature engineering processes, and audit compliance.
  • The contractor shall implement sprint-based Agile methodologies, ensuring rapid development cycles, backlog grooming, and alignment with mission requirements.
  • The contractor shall provide a Rough Order of Magnitude (ROM) Estimate Report before each analytics project, detailing expected Full-Time Equivalent (FTE) hours, compute costs, storage consumption, and infrastructure requirements.
  • The contractor shall conduct quarterly reviews to track cost efficiency, assess system performance, and optimize analytic workflows through the Quarterly Cost & Resource Utilization Report.

Qualifications
  • Active TS/SCI Clearance.
  • Master's degree in Data Science, Machine Learning, Statistics, or a related field, or;
    • nine (9) years of equivalent experience in AI/ML model development and deployment.
  • Personnel must have demonstrated experience in building and validating AI/ML models using Python, TensorFlow, PyTorch, or Scikit-learn, integrating models into production environments, and optimizing performance for real-time analytics.
  • Experience with Databricks, Apache Spark, or similar distributed data processing frameworks is required.
  • Experience working with geospatial datasets and integrating AI/ML solutions into mission-critical applications.
  • Possess the knowledge and capability to develop advanced machine learning models and optimize analytic workflows for predictive and prescriptive intelligence.
  • Proficient in deep learning, supervised and unsupervised learning techniques, data wrangling, and feature engineering.
  • Experience with data provenance tracking, model explainability, and bias mitigation in AI/ML applications is required.
  • Personnel must be able to translate operational challenges into analytic solutions, ensuring integration of structured, unstructured, and geospatial data.

Preferred Qualifications:
  • Desirable but not required certifications include Google Professional Machine Learning Engineer, Microsoft Certified: Azure Data Scientist Associate, or TensorFlow Developer Certification.

Additional Information
Work Environment
  • Full remote flexibility.

Working at SOSi
All interested individuals will receive consideration and will not be discriminated against for any reason.

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