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Remote Call Evaluator Jobs in Baton Rouge, LA (NOW HIRING)

Kobie Marketing

AI Engineer

Baton Rouge, LA · Remote

As a remote-first organization headquartered in St. Petersburg, Florida, Kobie values meaningful in ... call, and owning the reliability and evaluation of what goes to production. This is not a research ...

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Remote Call Evaluator information

See Baton Rouge, LA salary details

$28.3K

$62.9K

$102.3K

How much do remote call evaluator jobs pay per year?

As of Aug 27, 2026, the average yearly pay for remote call evaluator in Baton Rouge, LA is $62,868.00, according to ZipRecruiter salary data. Most workers in this role earn between $42,700.00 and $76,300.00 per year, depending on experience, location, and employer.

What is a remote call evaluator?

A Remote Call Evaluator is a professional who listens to and assesses recorded customer service or sales calls to ensure quality standards are met. They typically work from home and use evaluation criteria provided by their employer to score calls on factors such as professionalism, adherence to scripts, problem-solving, and customer satisfaction. Their feedback helps companies improve their customer service, train agents, and maintain compliance with company policies. This role requires good listening skills, attention to detail, and the ability to provide constructive feedback.

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

To thrive as a Remote Call Evaluator, you need strong analytical skills, attention to detail, and familiarity with customer service principles, often supported by experience in call centers or quality assurance. Proficiency with call recording and evaluation software, CRM systems, and sometimes certifications in quality assurance processes is typically required. Excellent listening skills, objectivity, and effective written communication help evaluators provide constructive and unbiased feedback. These skills are essential to ensure consistent customer service quality and to drive performance improvements across remote teams.

What are the main challenges faced by remote call evaluators and how can they be addressed?

Remote Call Evaluators often face challenges such as maintaining objectivity, managing a high volume of calls, and staying up-to-date with evaluation criteria. To address these, evaluators should follow standardized guidelines, take regular breaks to avoid fatigue, and participate in ongoing training sessions. Consistent communication with supervisors and team members also helps ensure alignment and continuous improvement in evaluation accuracy.

What is the difference between Remote Call Evaluator vs Remote Customer Service Representative?

AspectRemote Call EvaluatorRemote Customer Service Representative
Required CredentialsHigh school diploma or equivalent; some roles may prefer experience in quality assuranceHigh school diploma or equivalent; customer service experience often preferred
Work EnvironmentHome-based, focused on evaluating calls for quality and complianceHome-based, handling customer inquiries and providing support
Employer & Industry UsageUsed by market research firms, quality assurance teams, and call centersUsed by retail, telecom, and service industries for customer support

Remote Call Evaluators primarily assess call quality and compliance, focusing on evaluating recorded calls, while Remote Customer Service Representatives interact directly with customers to resolve issues. Both roles are home-based and require good communication skills, but their core responsibilities differ significantly.

How to become a remote call evaluator?

To become a remote call evaluator, candidates typically need strong communication skills, attention to detail, and the ability to assess call quality accurately. Relevant experience in customer service or quality assurance, along with familiarity with evaluation tools and sometimes completing training or certification programs, can improve chances of hiring. Most roles are part-time or flexible and require a reliable internet connection and a quiet workspace.

What are popular job titles related to Remote Call Evaluator jobs in Baton Rouge, LA?

For Remote Call Evaluator jobs in Baton Rouge, LA, the most frequently searched job titles are:

What job categories do people searching Remote Call Evaluator jobs in Baton Rouge, LA look for?

The top searched job categories for Remote Call Evaluator jobs in Baton Rouge, LA are:

Remote Call Evaluator jobs near you

AI Engineer

Kobie Marketing

Baton Rouge, LA • Remote

Full-time

This job post has expired today. Applications are no longer accepted.

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.