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Machine Learning Contract Remote Jobs in New Iberia, LA

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... Experience with AI, machine learning, or annotation projects related to biology or microbiology.

Machine Learning Contract Remote information

See New Iberia, LA salary details

$20.7K

$34.5K

$71.3K

How much do machine learning contract remote jobs pay per year?

As of Sep 4, 2026, the average yearly pay for machine learning contract remote in New Iberia, LA is $34,519.00, according to ZipRecruiter salary data. Most workers in this role earn between $26,300.00 and $37,300.00 per year, depending on experience, location, and employer.

What is a machine learning contract remote job?

Machine learning contract remote jobs are temporary work opportunities where professionals use machine learning techniques to solve problems for organizations, but do so remotely, often from home or another location. These roles typically involve building, training, and deploying models, analyzing data, and collaborating with teams virtually. Contracts can vary in length and scope, allowing flexibility for both the employer and the worker. These positions are ideal for individuals seeking project-based work or more flexible schedules, and require strong technical skills and the ability to communicate effectively online.

What skills and qualifications are needed to thrive as a machine learning contractor in a remote role?

To thrive as a Machine Learning Contractor working remotely, you need strong proficiency in mathematics, programming (typically Python), and a solid understanding of machine learning algorithms, usually supported by a relevant degree or equivalent experience. Familiarity with tools and frameworks like TensorFlow, PyTorch, scikit-learn, and cloud platforms such as AWS or Azure is essential, as well as experience with version control systems like Git. Excellent self-motivation, time management, and communication skills help you effectively collaborate with distributed teams and manage multiple projects independently. These competencies are crucial for delivering high-quality, scalable solutions and meeting client expectations in a flexible, remote work environment.

What are common challenges faced by remote machine learning contractors, and how can they be addressed?

Remote machine learning contractors often face challenges such as managing communication across time zones, accessing necessary data securely, and staying aligned with the client's project expectations. To address these, it’s important to establish clear communication channels, use secure data transfer protocols, and schedule regular check-ins with project stakeholders. Building strong documentation habits and leveraging collaborative tools like version control or shared notebooks can also help ensure smooth workflow and project transparency.

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

AspectMachine Learning Contract RemoteData Scientist Contract Remote
Required CredentialsDegree in Computer Science, Data Science, or related field; experience with ML frameworksDegree in Statistics, Data Science, or related; proficiency in data analysis tools
Work EnvironmentRemote, project-based, often collaborative with ML engineersRemote, analytical, often cross-functional teams
Employer & Industry UsageTech companies, AI startups, research institutionsTech firms, finance, healthcare, consulting
Common Search & ComparisonYesYes

Machine Learning Contract Remote roles focus on developing and deploying ML models, requiring specialized skills in algorithms and frameworks. Data Scientist Contract Remote positions emphasize data analysis, statistical modeling, and insights generation. While both roles often work remotely and share similar credentials, their core responsibilities differ, making this comparison useful for job seekers exploring related opportunities.

What are popular job titles related to Machine Learning Contract Remote jobs in New Iberia, LA?

For Machine Learning Contract Remote jobs in New Iberia, LA, the most frequently searched job titles are:

What cities near New Iberia, LA are hiring for Machine Learning Contract Remote jobs?

Cities near New Iberia, LA with the most Machine Learning Contract Remote job openings:

Postdoctoral Remote Sensing Scientist

Cherokee Federal

Lafayette, LA • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement

Posted 5 days ago


Job description


Postdoctoral Remote Sensing Scientist
Cherokee United Services is seeking a Postdoctoral Remote Sensing Scientist in Lafayette, Louisiana. This role advances research on coastal wetland change and ecosystem responses to extreme events at landscape, regional, and global scales.
Compensation & Benefits:
Compensation is commensurate with experience.
Full-time benefits include Medical, Dental, Vision, 401(k), and other possible benefits as provided. Benefits are subject to change with or without notice.
Postdoctoral Remote Sensing Scientist Responsibilities Include:
• Conduct scientific literature reviews related to remote sensing, GIS analysis, landscape ecology, coastal wetland ecosystems, and habitats being mapped or analyzed.
• Advance the production and analysis of remotely sensed data to assess coastal wetland change, support restoration planning, evaluate restoration effectiveness, and inform future ecosystem predictions.
• Acquire, develop, organize, document, and analyze long-term remote-sensing data to measure spatial and temporal change in coastal wetland ecosystems.
• Execute experiments using remotely sensed imagery, spatial-analysis outputs, and innovative geospatial methods.
• Apply machine-learning and deep-learning techniques to remote-sensing imagery and spatial data, as appropriate to project needs.
• Integrate existing geospatial information, including historical climate data, vegetation-change products, and other environmental datasets, with newly developed remote-sensing products.
• Apply knowledge of landscape ecology and coastal wetland ecosystem dynamics for advancing understanding of coastal wetland changes using geospatial analyses and remote sensing.
• Produce custom geospatial products and analytical outputs that support research on the ecological effects of extreme events occurring in recent decades.
• Develop and maintain complete, accurate documentation for project activities, datasets, data-production processes, technical methods, and analytical procedures.
• Maintain project status records, timekeeping documentation, data logs, analytical code, and version-controlled project materials.
• Produce Federal Geographic Data Committee (FGDC)-compliant metadata for all required deliverables.
• Prepare publication-ready maps, figures, tables, datasets, data releases, reports, and manuscripts for peer-reviewed journal publication.
• Summarize and communicate research findings through technical reports, journal articles, conference presentations, and presentations to USGS staff, cooperators, partners, and customers.
• Provide a leadership role in preparing for and facilitating meetings with research partners.
• Participate in project meetings, technical discussions, and other coordination activities as needed.
• Assist with technical aspects of proposal development, as assigned.
• Use professional experience and sound judgment to recommend next steps, identify issues, and propose solutions during project execution.
• Perform work independently and in accordance with established standard operating procedures, quality standards, and project requirements.
• Support field-based data-collection activities, when required.
• Follow all applicable federal information-security, privacy, property-protection, and facility-security requirements.
• Perform other job-related duties as assigned.
Postdoctoral Remote Sensing Scientist Experience, Education, Skills, and Abilities Requested:
• Doctoral degree in geography or a closely related field required or strongly preferred.
• Academic emphasis or demonstrated expertise in GIS, remote sensing, landscape ecology, coastal wetlands, environmental science, geography, or a related discipline required.
• One to three years of experience working in a scientific or research setting preferred.
• Demonstrated experience developing, processing, analyzing, and interpreting remote-sensing data products required.
• Experience using GIS, spatial analysis, geospatial datasets, satellite or aerial imagery, and environmental data required.
• Experience applying machine-learning and/or deep-learning techniques to remote-sensing or spatial-analysis projects preferred.
• Knowledge of coastal wetland ecosystem dynamics and coastal ecosystem change preferred.
• Ability to integrate historical climate data, vegetation-change products, and other geospatial datasets into scientific analyses.
• Experience conducting analyses across landscape, regional, and/or global geographic scales preferred.
• Demonstrated ability to design, execute, document, and interpret scientific experiments using remotely sensed imagery and spatial-analysis outputs.
• Strong experience preparing technical reports, peer-reviewed manuscripts, scientific figures, tables, maps, data products, and conference presentations.
• Familiarity with USGS or federal scientific-data practices, including data management, reproducible methods, technical documentation, and metadata development.
• Ability to create FGDC-compliant metadata for datasets and other required deliverables.
• Demonstrated ability to maintain accurate data logs, project records, documentation, and code in a version-control repository.
• Strong written, verbal, and interpersonal communication skills, including the ability to present complex scientific findings clearly to technical and nontechnical audiences.
• Ability to effectively collaborate with federal scientists, project partners, cooperators, customers, and stakeholders.
• Ability to lead or support the planning and facilitation of partner meetings.
• Ability to work independently, exercise sound judgment, manage competing priorities, and deliver accurate work on schedule.
• Strong attention to detail and commitment to data quality, documentation accuracy, customer specifications, and timely project delivery.
• Ability to successfully complete a federal background investigation and maintain required access credentials.
Company Information:
Cherokee Federal is a trusted team of government contracting professionals who rapidly build innovative and advanced solutions across environmental science, immigration, national security and intelligence, cybersecurity, health care, and logistics. Cherokee Federal is owned by Cherokee Nation Businesses, and 100% of profits support Cherokee Nation citizens through health care, education, and job creation. To learn more, visit cherokee-federal.com.
#CherokeeFederal #LI-RA2
Cherokee Federal is a military-friendly employer. Veterans and active military members transitioning to civilian careers are encouraged to apply.
• 5 Keywords:
o Remote Sensing
o Geographic Information Systems (GIS)
o Coastal Wetlands
o Machine Learning
o Landscape Ecology
• 5 Similar Job Titles:
o Remote Sensing Scientist
o Geospatial Research Scientist
o Coastal Wetland Scientist
o GIS Research Scientist
o Landscape Ecologist
Legal Disclaimer: All qualified applicants will receive consideration for employment without regard to protected veteran status, disability, or any other status protected under applicable federal, state, or local law. Many of our job openings require access to government buildings or military installations.

Cherokee Federal logo

About Cherokee Federal

Sourced by ZipRecruiter

Cherokee Federal - a division of Cherokee Nation Businesses - is a team of tribally owned federal contracting companies focused on building solutions, solving complex challenges, and serving the nation's mission around the globe for more than 60 federal clients. Our team of companies manages nearly 1,000 projects of all sizes across the construction, consulting, engineering and manufacturing, health, and technology portfolios. Since 2012, the Cherokee Federal team of companies has won more than $5 billion in government contracts. Our 3,000+ employees work in 26 countries, 50 states and 2 U.S. territories. Why choose Cherokee Federal? Visit our website and learn about the great reasons to join our team. cherokee-federal.com

Industry

Architectural services

Company size

1,001 - 5,000 Employees

Headquarters location

Tulsa, OK, US

Year founded

1969

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