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Remote Machine Learning Jobs in Baton Rouge, LA (NOW HIRING)

DataAnnotation

SDLC Engineer - AI Trainer

Baton Rouge, LA · Remote

$50 - $100/hr

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

DataAnnotation

QA Engineer - AI Trainer

Baton Rouge, LA · Remote

$50 - $100/hr

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

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All JobsMachine Learning JobsRemote Machine Learning JobsRemote Machine Learning Jobs in Baton Rouge, LA

Remote Machine Learning information

See Baton Rouge, LA salary details

$24.5K

$40.9K

$84.5K

How much do remote machine learning jobs pay per year?

As of Jul 10, 2026, the average yearly pay for remote machine learning in Baton Rouge, LA is $40,890.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,200.00 and $44,200.00 per year, depending on experience, location, and employer.

What engineer makes $500,000 a year?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data modeling, and often working at large tech companies or in specialized industries can earn salaries approaching or exceeding $500,000 annually. Compensation may include base salary, bonuses, and stock options, especially in high-demand markets.

What are the key skills and qualifications needed to thrive as a Remote Machine Learning Engineer, and why are they important?

To thrive as a Remote Machine Learning Engineer, you need a strong background in mathematics, statistics, programming (often Python), and experience with machine learning frameworks, typically supported by a relevant degree. Familiarity with tools such as TensorFlow, PyTorch, cloud platforms (like AWS or GCP), and version control systems is crucial. Strong problem-solving abilities, self-management, and effective virtual communication distinguish top performers in remote settings. These competencies ensure the engineer can build effective models, collaborate across distributed teams, and deliver impactful solutions independently.

How to make 2000 a week working from home?

Remote machine learning professionals can earn $2,000 or more weekly by taking on high-paying freelance projects, consulting roles, or working for companies that offer remote positions with competitive salaries. Building specialized skills in programming, data analysis, and tools like Python, TensorFlow, or cloud platforms can increase earning potential. Consistent work, a strong portfolio, and networking are key to reaching this income level from home.

What Are Remote Machine Learning Jobs?

Machine learning is a method of analyzing data via automating analytical model building. The premise is that systems can learn from data. Machine learning positions include machine learning engineer, computer vision engineer, and senior deep learning engineer. In a remote machine learning job, you work from home in a branch of artificial intelligence performing duties related to computational processing and data. Your goal is to design models that solve business problems, such as helping organizations avoid unknown risks or find profitable opportunities. Your responsibilities include maintaining data pipelines, performing model research and implementation, building machine learning systems, and onboarding new utilities.

What is a remote machine learning job?

A remote machine learning job involves working with algorithms, data, and models to develop predictive systems or automate tasks, all while working from a location outside of a traditional office setting. Professionals in this role use techniques from statistics and computer science to analyze data, train machine learning models, and deploy solutions for real-world applications. Remote machine learning jobs can span various industries, including technology, healthcare, finance, and e-commerce. These roles typically require strong programming skills, knowledge of machine learning frameworks, and the ability to communicate findings effectively with team members or stakeholders. Working remotely offers flexibility, but also requires discipline and self-motivation to succeed.

What are some effective strategies for collaborating with team members while working remotely as a Machine Learning Engineer?

Collaboration in a remote Machine Learning role often relies on clear communication through digital tools such as Slack, Zoom, and project management platforms like Jira or Asana. Regular check-ins and stand-up meetings help keep everyone aligned on project goals and timelines. Sharing code and models via version control systems (like Git) and using collaborative notebooks (such as JupyterHub or Google Colab) are also common practices. Building strong documentation habits and proactively seeking feedback can help ensure smooth teamwork and project success, even across different time zones.

What is the difference between Remote Machine Learning vs Data Scientist?

AspectRemote Machine LearningData Scientist
Required CredentialsBachelor's/Master's in CS, ML certificationsBachelor's/Master's in CS, Statistics, or related field
Work EnvironmentRemote, collaborative teams, tech companiesRemote or on-site, diverse industries, analytics focus
Industry UsageTech, AI startups, researchFinance, healthcare, e-commerce, tech
Search & Comparison IntentOften compared for technical roles in AI/MLBroader data analysis roles, but overlapping skills

Remote Machine Learning specialists focus on developing algorithms and models primarily in tech environments, often requiring advanced programming and ML knowledge. Data Scientists analyze data to extract insights, sometimes utilizing ML techniques. While both roles share skills and credentials, Remote Machine Learning emphasizes model development, whereas Data Scientists focus on data analysis and interpretation.

Are there remote machine learning jobs?

Yes, remote machine learning jobs are widely available across various industries, often requiring skills in programming, data analysis, and familiarity with tools like Python, TensorFlow, or PyTorch. Many companies offer flexible schedules and remote work options for qualified candidates, especially in tech and research sectors.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and deploy AI models, and their role involves understanding algorithms, data preprocessing, and model optimization. While AI automation tools can handle certain tasks, MLEs are essential for creating, fine-tuning, and maintaining complex AI systems, making complete replacement unlikely in the near term.
More about Remote Machine Learning jobs
What are the most commonly searched types of Machine Learning jobs in Baton Rouge, LA? The most popular types of Machine Learning jobs in Baton Rouge, LA are:
What are popular job titles related to Remote Machine Learning jobs in Baton Rouge, LA? For Remote Machine Learning jobs in Baton Rouge, LA, the most frequently searched job titles are:
What job categories do people searching Remote Machine Learning jobs in Baton Rouge, LA look for? The top searched job categories for Remote Machine Learning jobs in Baton Rouge, LA are:
What cities near Baton Rouge, LA are hiring for Remote Machine Learning jobs? Cities near Baton Rouge, LA with the most Remote Machine Learning job openings:
Remote Machine Learning jobs near you
Infographic showing various Remote Machine Learning job openings in Baton Rouge, LA as of July 2026, with employment types broken down into 1% As Needed, 71% Full Time, 26% Part Time, 1% Temporary, and 1% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $40,890 per year, or $19.7 per hour.
Senior Healthcare Informatics Analyst

Senior Healthcare Informatics Analyst

Strategic Staffing Solutions

Baton Rouge, LA • Remote

$50/hr

Other

Re-posted 8 days ago

Job description

Job Description Senior Healthcare Informatics Analyst Location: Remote (Louisiana Preferred) Duration: 6-Month Contract Pay Rate: Up to $50/hour Overview We are seeking a Senior Healthcare Informatics Analyst to support advanced healthcare analytics initiatives focused on improving healthcare quality, outcomes, utilization, and cost management. This role will leverage predictive modeling, outcomes research, machine learning, and healthcare data analytics to provide actionable insights that drive strategic business decisions. The ideal candidate will have strong experience in Healthcare Economics and Outcomes Research (HEOR), predictive analytics, healthcare data modeling, and payer/provider healthcare environments.

Key Responsibilities Analyze healthcare data to improve patient outcomes, utilization, quality, and cost efficiency. Develop predictive models and advanced analytic solutions to support business and clinical initiatives. Perform healthcare economics and outcomes research using large healthcare datasets.

Design and execute descriptive, predictive, and statistical analyses. Translate business problems into data-driven solutions and actionable recommendations. Collaborate with business, clinical, actuarial, finance, and technology teams to support strategic decision-making.

Validate data quality, accuracy, completeness, and consistency across analytical deliverables. Develop reporting, dashboards, and analytical frameworks that support operational and strategic initiatives. Serve as a subject matter expert on healthcare analytics methodologies and outcomes measurement.

Present complex analytical findings to both technical and non-technical stakeholders. Required Qualifications Education Bachelor's degree in Healthcare Administration, Statistics, Economics, Computer Science, Finance, Analytics, or another quantitative discipline. Equivalent experience may be considered in lieu of degree requirements.

Experience 4+ years of healthcare analytics, healthcare informatics, healthcare consulting, or related experience. Experience building predictive models and advanced analytical solutions. Experience working with healthcare payer and/or provider data environments.

Strong understanding of the U.S. healthcare delivery system. Technical Skills SQL SAS Python R Tableau Analytical Skills Predictive Modeling Healthcare Analytics Data Mining Statistical Analysis Machine Learning Outcomes Research Big Data Analytics Preferred Qualifications Strong experience in Healthcare Economics and Outcomes Research (HEOR)

Experience with SAS Enterprise Miner. Experience supporting population health management initiatives. Knowledge of provider reimbursement and payment methodologies.

Experience with risk adjustment models and methodologies. Familiarity with healthcare quality and performance measures. Clinical & Healthcare Analytics Knowledge HCC DxCG DRG APC ETG MEG HEDIS AHRQ Statistical & Machine Learning Methods Linear Regression Logistic Regression Polynomial Regression Decision Trees Cluster Analysis Time Series Analysis Support Vector Machines Ensemble Models Unstructured Data Mining Ideal Candidate Profile Deep expertise in healthcare analytics and outcomes research.

Strong background in predictive modeling and healthcare data science. Experience translating complex healthcare data into business insights. Ability to communicate analytical findings to executive and operational stakeholders.

Comfortable working independently while collaborating across multiple business functions. Experience supporting payer, managed care, population health, risk adjustment, or value-based care initiatives. Key Areas of Focus Healthcare Economics & Outcomes Research (HEOR) Predictive Analytics Population Health Provider Performance Analytics Risk Adjustment Medical Cost Management Quality Measurement Healthcare Utilization Analytics Patient Outcomes Analysis Healthcare Data Strategy and Decision Support.

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