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Cohere Jobs in Florida (NOW HIRING)

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Cohere information

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$21.3K

$51.9K

$100.1K

How much do cohere jobs pay per year?

As of Aug 7, 2026, the average yearly pay for cohere in Florida is $51,869.00, according to ZipRecruiter salary data. Most workers in this role earn between $33,600.00 and $63,500.00 per year, depending on experience, location, and employer.

What is Cohere?

Cohere is actually not a traditional job title, but the name of a company specializing in artificial intelligence and natural language processing. Cohere provides large language models and AI tools to help businesses build advanced language features into their applications. Employees at Cohere work in roles such as machine learning engineers, research scientists, and product managers, focusing on developing and improving AI models and solutions. If you are interested in working at Cohere, it's important to understand their focus on cutting-edge AI technology and their mission to make AI accessible to all developers.

What are the key skills and qualifications needed to thrive as a machine learning engineer at Cohere?

To thrive as a Machine Learning Engineer at Cohere, you need strong expertise in machine learning algorithms, proficiency in programming languages like Python, and a solid educational background in computer science or a related field. Familiarity with deep learning frameworks (such as TensorFlow or PyTorch), experience using cloud platforms, and knowledge of NLP systems are typically required. Excellent problem-solving, communication, and collaboration skills help you work effectively within cross-functional teams and drive innovation. These skills ensure you can build, deploy, and optimize cutting-edge AI solutions that meet real-world business needs.

What are some common challenges faced by Cohere engineers when working with large-scale language models?

Engineers at Cohere often encounter challenges such as optimizing model performance while managing computational resources, ensuring data privacy, and maintaining model accuracy across diverse use cases. Collaboration between research and engineering teams is crucial to address these issues, as they work together to implement new algorithms and troubleshoot deployment issues. Additionally, keeping up with the rapid pace of advancements in natural language processing requires continuous learning and adaptation.

What is the difference between Cohere vs Content Writer?

AspectCohereContent Writer
Required CredentialsTypically a background in linguistics, computer science, or related fields; familiarity with NLP and AI toolsUsually a degree in English, journalism, communications, or related fields
Work EnvironmentTech companies, AI startups, remote or office-based roles focused on AI and NLP projectsMedia companies, marketing agencies, freelance or in-house roles creating written content
Employer & Industry UsageUsed in AI, machine learning, and tech industries for developing language modelsUsed across publishing, marketing, advertising, and media industries for content creation

While Cohere focuses on AI and NLP technology development, a Content Writer specializes in creating written content for various media. Both roles require strong language skills, but Cohere emphasizes technical expertise in AI, whereas Content Writers focus on storytelling and communication skills.

Infographic showing various Cohere job openings in Florida as of August 2026, with employment types broken down into 94% Full Time, 3% Part Time, 2% Contract, and 1% Nights. Highlights an 31% Physical, 1% Hybrid, and 68% Remote job distribution, with an average salary of $51,869 per year, or $24.9 per hour.

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Fort Myers, FL • Remote

Full-time

Re-posted 16 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.