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Political Data Analyst Remote Jobs in Rochester, NY

Collaborate with product and research teams to refine data, guidelines, and best practices for AI ... Strong analytical capabilities and ability to translate legal expertise into actionable feedback ...

This role is based in United State and is a remote position. You will be part of a collaborative ... Analyze process and laboratory data to identify improvement opportunities and make recommendations

M&A Associate - AI Trainer

Rochester, NY ยท Remote

$50 - $100/hr

Enjoy the flexibility of remote work and the freedom to set your own schedule. This is an ... Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises ...

Collaborate with product and research teams to refine data, guidelines, and best practices for AI ... Strong analytical capabilities and ability to translate legal expertise into actionable feedback ...

Showing results 41-60

Political Data Analyst Remote information

See Rochester, NY salary details

$33.5K

$81.5K

$134.2K

How much do political data analyst remote jobs pay per year?

As of Aug 9, 2026, the average yearly pay for political data analyst remote in Rochester, NY is $81,538.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,700.00 and $95,700.00 per year, depending on experience, location, and employer.

What are the typical challenges faced by remote political data analysts when collaborating with campaign teams?

Remote Political Data Analysts often encounter challenges in maintaining seamless communication with campaign teams, especially when working across different time zones or with teams unfamiliar with data-driven decision-making. Building strong relationships remotely requires proactive communication, clear documentation, and regular virtual meetings to ensure alignment on goals and data needs. Analysts must also be adept at using collaboration tools and presenting complex findings in accessible ways to help campaign staff act on insights efficiently.

What is the difference between Political Data Analyst Remote vs Political Research Analyst?

AspectPolitical Data Analyst RemotePolitical Research Analyst
CredentialsBachelor's in Political Science, Data Analysis, or related field; proficiency in data toolsBachelor's or higher in Political Science, Public Policy, or related; research methodology skills
Work EnvironmentRemote, independent data analysis projectsOffice or remote research settings, often collaborative
Employer & IndustryPolitical campaigns, think tanks, NGOs, government agenciesResearch firms, academic institutions, government bodies
Search & Comparison IntentUnderstanding remote data analysis roles in politicsResearch-focused political analysis roles

The main difference is that Political Data Analyst Remote focuses on analyzing political data remotely using data tools, while Political Research Analyst emphasizes conducting political research and policy analysis, often in collaborative or office settings. Both roles require similar educational backgrounds but differ in work environment and primary responsibilities.

What does a political data analyst do?

A remote Political Data Analyst collects, processes, and interprets political data to help organizations, campaigns, or government agencies make informed decisions from a remote location. Their work typically involves analyzing voter demographics, election results, polling data, and social media trends to identify patterns and predict outcomes. They use statistical software and data visualization tools to present their findings clearly, often supporting campaign strategy or policy development. Working remotely, they collaborate with team members through digital communication tools and manage data securely online.

What are the key skills and qualifications needed to thrive as a political data analyst?

To thrive as a Political Data Analyst, you need strong analytical skills, expertise in statistics, and a background in political science or a related field. Proficiency in data analysis tools such as Python, R, SQL, and data visualization platforms like Tableau is typically required. Attention to detail, clear communication, and the ability to interpret complex data for diverse audiences are essential soft skills. These abilities ensure accurate insights, effective reporting, and impactful decision-making in the fast-paced and data-driven world of political campaigns or policy analysis.
What are the most commonly searched types of Political Data Analyst jobs in Rochester, NY? The most popular types of Political Data Analyst jobs in Rochester, NY are:
What are popular job titles related to Political Data Analyst Remote jobs in Rochester, NY? For Political Data Analyst Remote jobs in Rochester, NY, the most frequently searched job titles are:
What job categories do people searching Political Data Analyst Remote jobs in Rochester, NY look for? The top searched job categories for Political Data Analyst Remote jobs in Rochester, NY are:
What cities near Rochester, NY are hiring for Political Data Analyst Remote jobs? Cities near Rochester, NY with the most Political Data Analyst Remote job openings:
Infographic showing various Political Data Analyst Remote job openings in Rochester, NY as of August 2026, with employment types broken down into 77% Full Time, and 23% Contract. Highlights an 100% Remote job distribution, with an average salary of $81,538 per year, or $39.2 per hour.

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Geneseo, NY โ€ข Remote

Full-time

Re-posted 18 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

โ€‹

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:

  • Bachelorโ€™s or Masterโ€™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.