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Remote Program Evaluation Jobs in Algonac, MI (NOW HIRING)

As a remote-first organization headquartered in St. Petersburg, Florida, Kobie values meaningful in ... Build evaluation harnesses (golden datasets, LLM-as-judge, regression suites) using AgentCore ...

Join a National Top Workplace Named a Top Workplace in the USA and Top Remote Workplace, Kobie is ... Build evaluation harnesses (golden datasets, LLM-as-judge, regression suites) using AgentCore ...

Join a National Top Workplace Named a Top Workplace in the USA and Top Remote Workplace, Kobie is ... Build evaluation harnesses (golden datasets, LLM-as-judge, regression suites) using AgentCore ...

RSM - Enterprise

Detroit, MI · Remote

$85K - $100K/yr

... programs and other territory or industry relationships to maximize and leverage partner ... Works efficiently in a remote home office environment. * Adheres to the Getac Statement of ...

RSM - Enterprise

Detroit, MI · Remote

$85K - $100K/yr

... programs and other territory or industry relationships to maximize and leverage partner ... Works efficiently in a remote home office environment. * Adheres to the Getac Statement of ...

Prepare a written evaluation of borrowers' financial condition and future outlook, as well as ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

Participate in strategy and roadmap engagements, product/framework evaluation and selection ... Client Business/IT stakeholders, Program Managers, fellow Team Leads, Architects, Technical Leads ...

Showing results 21-40

Remote Program Evaluation information

See Algonac, MI salary details

$31.4K

$58K

$88.8K

How much do remote program evaluation jobs pay per year?

As of Aug 14, 2026, the average yearly pay for remote program evaluation in Algonac, MI is $58,033.00, according to ZipRecruiter salary data. Most workers in this role earn between $42,600.00 and $68,200.00 per year, depending on experience, location, and employer.

What is a remote program evaluation?

A Remote Program Evaluation job involves assessing the effectiveness, efficiency, and impact of programs from a remote location. Professionals in this role collect and analyze data, generate reports, and provide recommendations to improve program outcomes. They may use surveys, interviews, and statistical methods to evaluate performance. This position is common in nonprofits, corporations, and government agencies that need to measure program success. Strong analytical skills, attention to detail, and experience with evaluation methodologies are essential for success in this role.

What are the typical responsibilities of a remote program evaluation professional?

As a Remote Program Evaluation professional, your primary responsibilities include designing and implementing evaluation plans, collecting and analyzing quantitative and qualitative data, and generating comprehensive reports on program effectiveness. You may also facilitate virtual interviews or focus groups, collaborate with stakeholders to refine evaluation objectives, and use digital tools for data visualization and communication. The role often involves working independently, but you will regularly coordinate with program managers, data analysts, and other team members to ensure evaluation goals are met. This structure allows for flexible work hours while still contributing valuable insights to drive program improvements.

What are the key skills and qualifications needed to thrive in remote program evaluation?

To thrive in Remote Program Evaluation, you need strong analytical, research, and data interpretation skills, typically supported by a background in social sciences, public health, education, or related fields. Familiarity with evaluation frameworks, statistical software (such as SPSS or R), and data management tools is highly valuable, as are certifications like the Certified Evaluation Professional (CEP). Excellent written and verbal communication, self-motivation, and attention to detail enhance your ability to collaborate across remote teams and present findings effectively. These skills ensure accurate program assessments, actionable recommendations, and successful outcomes in a virtual working environment.

What cities near Algonac, MI are hiring for Remote Program Evaluation jobs?

Cities near Algonac, MI with the most Remote Program Evaluation job openings:

Infographic showing various Remote Program Evaluation job openings in Algonac, MI as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 16% Part Time, 1% Temporary, and 3% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $58,033 per year, or $27.9 per hour.

AI Engineer

Kobie Marketing

Detroit, MI • Remote

Full-time

Re-posted 28 days ago


Job description

Join a National Top Workplace 
 
Named a Top Workplace in the USA and Top Remote Workplace, Kobie is where the best minds in loyalty come together, driven by passion and innovation. We’re always looking for talented individuals who are ready to join a collaborative, growth-focused culture. As a partner to some of the world’s most recognized brands, we are leaders in loyalty, helping brands build lasting emotional connections with their consumers. 
 
Join Us from Anywhere 
While our headquarters are nestled in sunny St. Petersburg, Florida, Kobie embraces a flexible work environment, offering teammates the freedom to work remotely. We understand the importance of work-life balance and support our team with: 
 
·         Flexible Time Off to recharge when needed 
·         Nine Company-Wide Holidays 
·         A diverse suite of benefits prioritizing your growth, development, and personal well-being 
 
Discover more about our perks and benefits here. 
 
Kobie is a values-led organization where we believe that everyone is a leader, regardless of their position or role. 
 
Travel Requirements:
As a remote-first organization headquartered in St. Petersburg, Florida, Kobie values meaningful in-person connection and collaboration that strengthens our teams, supports our clients, and enhances our culture. While travel requirements vary by role, periodic travel may be required to support business objectives, team collaboration, customer engagements, training, and company events. Candidates should be able and willing to travel as needed to fulfill the responsibilities of the role. 
 

About the team and what we’ll build together

Kobie runs some of the largest loyalty programs in the world. We're building an internal agent platform on Amazon AgentCore that automates analyst workflows, surfaces insights from program data in Snowflake, and gives our teams and clients an LLM-native way to work with complex loyalty logic.

We're looking for a hands-on AI Engineer to ship on that platform: building agent harnesses, writing the tools those agents call, and owning the reliability and evaluation of what goes to production. This is not a research role. You'll prototype, ship, monitor, and iterate on features used by real teams

Our team tends to be people who reason carefully, ship working code,and pick up new tools without a lot of handholding. There’s no single path into this role. We value the impact of what you’ve built and your track record of building things that hold up.

How you will make an impact

Agent Development

  • Build agent harnesses in Python using LangChain and LangGraph, including tool-calling, structured outputs (Pydantic/JSON schema), retries, streaming, and memory
  • Package agent harnesses for the AgentCore Runtime with appropriate context, tools, skills, and subagents that fit cleanly into production flows and scenarios
  • Write the tools and skills agents use  API integrations, SQL queries against Snowflake, Snowflake backed knowledge retrieval with clear contracts and Pydantic validation

Evaluation and Reliability

  • Build evaluation harnesses (golden datasets, LLM-as-judge, regression suites) using AgentCore Evaluations, and wire them into CI
  • Implement guardrails around tool execution: auth scoping, input/output validation, PII and prompt-injection protections, and hallucination mitigation
  • You own what you ship: prototype, deploy through Amazon AgentCore, monitor traces, and fix it when it breaks

Collaboration

  • Partner with data engineers on Snowflake backed retrieval patterns (Cortex Analyst and Cortex Search Services)
  • Contribute to refining our internal engineering patterns as the stack evolves

What you need to be successful

Required

  • 3+ years of professional Python, with production experience building and operating services
  • 1+ years of hands-on work with LLMs in production: prompt/context engineering, tool/function calling, structured outputs, RAG
  • Working knowledge of LangChain/LangGraph or a comparable framework like AgentCore Strands, CrewAI, or Semantic Kernel
  • Experience with LLM observability tools: Amazon CloudWatch, LangSmith, Langfuse, MLflow, or OpenTelemetry
  • Experience designing evaluation frameworks (MLFlow, DeepEval, LLM-as-judge, multi-turn regression)
  • Fluency with Git, Docker, and modern API frameworks
  • Clear written communication and the judgment to know when something is ready to ship

A bachelor's degree is not required. Equivalent practical experience: including bootcamps, self-taught work, career changes, or non-CS technical degrees counts.

Strongly Preferred

  • Hands-on experience with Amazon Bedrock and/or AgentCore as a developer: runtime, gateways, memory, policy, guardrails, observability, awscli, evaluations
  • Experience with Snowflake, Snowpark, or Snowflake Cortex
  • Fluency in writing and reading SQL, as well as understanding semantic models.
  • Familiarity with multi-agent patterns: supervisor/router, subagent/handoff, reflection, human-in-the-loop
  • A considered view on where agents should and shouldn't act and comfort pushing back when "let's add an agent" isn't the right answer
  • Experience in Loyalty, MarTech, AdTech, or a comparable data rich B2B domain
Who we are  As a trusted partner, Kobie delivers market-leading, end-to-end loyalty solutions designed to enable customer experiences for the world's most successful brands. We do this with a strategy-led technology approach that uncovers the truth behind what drives consumers on an emotional level. We believe that our team's passion and expertise are the driving forces behind our success and are proud to be named a Top Workplaces in the USA, where the best and brightest in loyalty drive our mission of growing enterprise value through loyalty. 
 
A place for all We celebrate and embrace diversity at Kobie! 
Employment at Kobie is based solely on an individual's merit and qualifications, which are directly related to professional competence. We do not discriminate against any teammate or applicant because of race,color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy, or any other characteristic protected by applicable law. 
 
We are fiercely committed to fostering a workplace where teammates can bring their authentic selves to work every day. Our DEI initiatives, including various committees, ensure that principles of equity, diversity, and inclusion are deeply ingrained throughout Kobie. While our leadership team fully supports our policy of nondiscrimination and equal opportunity, it is the responsibility of all teammates to uphold these values. 
 
Ready to join us? If you’re ready to make an impact and grow in a supportive, innovative environment, we’d love to hear from you. Apply today and join the best and brightest in loyalty! 

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.