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Model Jobs in Fall River, MA (NOW HIRING)

ResultStack

Sr. Data Scientist

Carolina, RI · On-site

They will be able to model data and present it for both technical and executive audiences. They will have Complex Data Fluency. Being very comfortable wrangling large, noisy datasets --- EDI records ...

Citizens

Principal Data Engineer - Neo4J

Johnston, RI · On-site

You will help lead a team of data engineers as you create interfaces, graph models, and data platforms that facilitate the flow, linkage, and contextualization of information across Citizens ...

Citizens

Principal Data Engineer - Neo4J

Johnston, RI · On-site

You will help lead a team of data engineers as you create interfaces, graph models, and data platforms that facilitate the flow, linkage, and contextualization of information across Citizens ...

Citizens

Principal Data Engineer - Neo4J

Johnston, RI · On-site

You will help lead a team of data engineers as you create interfaces, graph models, and data platforms that facilitate the flow, linkage, and contextualization of information across Citizens ...

Bespoke Labs

Machine Learning Engineer

Pawtucket, RI · On-site

We curated OpenThoughts, one of the best open reasoning datasets, and have trained SOTA models such as Bespoke-MiniCheck and Bespoke-MiniChart. We are embarked on a journey to build Environments that ...

Bespoke Labs

Machine Learning Engineer

Warwick, RI · On-site

We curated OpenThoughts, one of the best open reasoning datasets, and have trained SOTA models such as Bespoke-MiniCheck and Bespoke-MiniChart. We are embarked on a journey to build Environments that ...

Bespoke Labs

Machine Learning Engineer

Providence, RI · On-site

We curated OpenThoughts, one of the best open reasoning datasets, and have trained SOTA models such as Bespoke-MiniCheck and Bespoke-MiniChart. We are embarked on a journey to build Environments that ...

Bespoke Labs

Machine Learning Engineer

Bristol, RI · On-site

We curated OpenThoughts, one of the best open reasoning datasets, and have trained SOTA models such as Bespoke-MiniCheck and Bespoke-MiniChart. We are embarked on a journey to build Environments that ...

Bespoke Labs

Machine Learning Engineer

Cranston, RI · On-site

We curated OpenThoughts, one of the best open reasoning datasets, and have trained SOTA models such as Bespoke-MiniCheck and Bespoke-MiniChart. We are embarked on a journey to build Environments that ...

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Showing results 41-60

All JobsModel JobsModel Jobs in Fall River, MA

Model information

See Fall River, MA salary details

$10

$45

$143

How much do model jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for model in Fall River, MA is $45.89, according to ZipRecruiter salary data. Most workers in this role earn between $14.95 and $72.40 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a model, and why are they important?

To thrive as a Model, you typically need a strong physical presence, the ability to pose or walk confidently, and an understanding of industry standards, usually supported by a professional portfolio. Familiarity with photo shoot protocols, modeling agencies, and digital submission platforms is essential. Professionalism, adaptability, and strong communication skills help models stand out when working with clients and creative teams. These skills ensure a model can consistently meet diverse assignment demands and maintain a reputable, sustainable career in a competitive industry.

What are some common challenges faced by models during photo shoots and runway shows?

Models often face challenges such as maintaining energy and focus during long hours, adapting quickly to different styling, and working in varied environments that may be physically demanding. They must also interpret the creative direction of photographers or designers while projecting confidence and professionalism. Effective communication and teamwork with stylists, makeup artists, and other models are key to ensuring a successful shoot or show.

What is the difference between Model vs Data Analyst?

AspectModelData Analyst
Required CredentialsKnowledge of statistical modeling, programming skills (e.g., Python, R)Proficiency in data analysis tools, Excel, SQL, and visualization software
Work EnvironmentOften in tech, finance, or research settings focusing on building predictive modelsIn various industries analyzing data to inform business decisions
Employer & Industry UsageUsed in industries requiring predictive analytics and machine learningCommon across business, marketing, healthcare, and finance sectors

The main difference is that a Model develops predictive or statistical models, while a Data Analyst interprets data to generate insights. Models focus on creating algorithms, whereas Data Analysts focus on analyzing and visualizing data to support decision-making.

How do you get a job as a model?

To become a model, individuals typically build a portfolio of professional photos, gain experience through local or open casting calls, and seek representation from modeling agencies. Success often depends on physical appearance, confidence, and networking within the industry, along with maintaining good health and grooming standards.

How much money do models get paid?

Model salaries vary widely based on experience, type of modeling, and market. Fashion models may earn from a few hundred to thousands of dollars per day, while commercial and promotional models typically earn less. Payment can be hourly, daily, or per project, and many models also receive additional compensation such as commissions or royalties.

How to get a career in modeling?

To start a career in modeling, individuals typically build a portfolio with professional photos, gain experience through local auditions or open calls, and seek representation from modeling agencies. Physical appearance, confidence, and good communication skills are important, and maintaining a healthy lifestyle can enhance prospects. Success often requires persistence and networking within the industry.
More about Model jobs

What cities near Fall River, MA are hiring for Model jobs?

Cities near Fall River, MA with the most Model job openings:

Model jobs near you
Infographic showing various Model job openings in Fall River, MA as of August 2026, with employment types broken down into 2% As Needed, 79% Full Time, 16% Part Time, and 3% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $95,451 per year, or $45.9 per hour.

Generative AI Automation Engineer - Remote Job

EnthuZiastic

North Dartmouth, MA • On-site

Other

Re-posted 26 days ago

Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

​

This is a remote position.

We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

Key Responsibilities:

Generative AI Model Implementation:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • Make a tangible impact on the future of automation and AI-driven processes.

If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.

Apply