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Part Time Remote Customer Service Associate Jobs in Lexington, KY

Reception Associate

Lexington, KY · On-site +1

$15.75 - $20.50/hr

Essential Functions • Greets and provides information to customers, families, and visitors while ... Part-time and PRN experience will be prorated based on hours worked per week. Volunteer work and ...

Showing results 21-25

Part Time Remote Customer Service Associate information

See Lexington, KY salary details

$8

$17

$27

How much do part time remote customer service associate jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for part time remote customer service associate in Lexington, KY is $17.03, according to ZipRecruiter salary data. Most workers in this role earn between $13.85 and $19.13 per hour, depending on experience, location, and employer.

What is a part time remote customer service associate?

A Part Time Remote Customer Service Associate is a professional who assists customers with inquiries, issues, or orders while working remotely, often from their home. They typically interact with customers via phone, email, chat, or social media, providing support and resolving problems. Since the position is part-time, associates usually work fewer hours than a full-time schedule, offering flexibility. This role is essential for companies that want to provide customer support outside of traditional office settings.

What are the key skills and qualifications needed to thrive as a part time remote customer service associate?

To thrive as a Part Time Remote Customer Service Associate, you need strong communication skills, problem-solving abilities, and a high school diploma or equivalent. Familiarity with CRM platforms, help desk software, and basic computer proficiency are commonly required. Exceptional patience, active listening, and adaptability help associates stand out when handling diverse customer inquiries remotely. These skills ensure efficient resolution of customer issues, high satisfaction rates, and seamless remote collaboration.

What are some common challenges faced by part time remote customer service associates, and how can they be overcome?

Part-time remote customer service associates often face challenges such as managing time effectively, staying motivated without in-person supervision, and handling high volumes of customer inquiries. To overcome these, it's helpful to establish a dedicated workspace, set a consistent schedule, and use productivity tools to track tasks. Regular virtual check-ins with your team and actively participating in online training can also help you stay connected and grow your skills while working remotely.

What is the difference between Part Time Remote Customer Service Associate vs Part Time Remote Customer Support Specialist?

AspectPart Time Remote Customer Service AssociatePart Time Remote Customer Support Specialist
CredentialsHigh school diploma or equivalent; customer service experienceHigh school diploma or equivalent; customer support experience
Work EnvironmentRemote, handling customer inquiries via phone, chat, or emailRemote, providing technical or product support to customers
Industry UsageRetail, telecommunications, service industriesTechnology, software, electronics sectors
Search & Comparison IntentCustomer service roles, entry-level remote jobsTechnical support, product assistance roles

Both roles involve remote work and customer interaction, but Customer Service Associates focus on general inquiries and issue resolution, while Customer Support Specialists often handle technical or product-specific support. The main difference lies in the nature of support provided, with specialists typically requiring more technical knowledge.

What cities near Lexington, KY are hiring for Part Time Remote Customer Service Associate jobs?

Cities near Lexington, KY with the most Part Time Remote Customer Service Associate job openings:

Principal Physics Consultant - AI Training

micro1 AI

Lexington, KY • Remote

$80 - $160/hr

Part-time

Posted 19 days ago


Job description

Role Title: Physics Expert (Professor / Principal Investigator)


Role Type: Contractor.


Location: Remote


micro1 is engaging Physics Experts—established Professors or Principal Investigators—to provide high-level domain guidance as part of an impactful project for a customer. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Adjudicate and render expert judgment on contested or competing physics arguments, solutions, or interpretations within your subfield.
  2. Compare alternative approaches to the same problem, detailing which is superior, under what assumptions, and in which regimes.
  3. Identify and articulate meta-level criteria for evaluating the robustness and validity of competing physics work, such as key assumptions and breaking points of approximations.
  4. Exercise calibrated confidence by providing authoritative assessments while transparently acknowledging genuine uncertainty or open questions in the field.
  5. Draft defensible written evaluations suitable for review by fellow senior physicists, ensuring clarity and rigor.
  6. Leverage technical tools such as LaTeX, SymPy, Python, and Jupyter to verify or contrast technical claims as needed.
  7. Clearly communicate when a question is unresolved within the field and delineate the pertinent considerations.


Preferred Qualifications

  1. PhD in physics with demonstrated expertise and scholarly impact in your specified subfield.
  2. Current or former Associate Professor, Full Professor, Chair Professor, or Principal Investigator/Group Leader with a track record of independent research leadership.
  3. Ongoing research activity in one or more of these areas: High Energy Physics, Mathematical Physics, Biophysics, Statistical Physics, Condensed Matter, AMO/Quantum Optics, Gravitation, Cosmology, Astrophysics, Quantum Information, or Optical Properties of Materials.
  4. 3–5 recent representative publications in your target subfield, with arXiv or DOI references.
  5. Prior experience supervising PhD students or postdocs, or equivalent leadership in industry research settings.
  6. Proficiency with LaTeX, SymPy, Python, and Jupyter (please indicate any gaps in experience with these tools).
  7. Exceptional written communication skills, with the ability to articulate nuanced and well-reasoned judgments.