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Part Time Remote Customer Service Jobs in Tooele, UT

Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a ... study reports (CSR), including subtle errors in population definitions, censoring rules, or ...

Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a ... study reports (CSR), including subtle errors in population definitions, censoring rules, or ...

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Part Time Remote Customer Service information

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

As of Aug 18, 2026, the average hourly pay for part time remote customer service in Tooele, UT is $17.65, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $19.62 per hour, depending on experience, location, and employer.

What is a part time remote customer service?

A part time remote customer service job involves assisting customers with inquiries, issues, or orders from a location outside of a traditional office, typically from home. These roles usually require strong communication skills, a reliable internet connection, and the ability to work flexible hours. Duties may include answering phone calls, responding to emails or chat messages, and helping resolve customer concerns. This job is ideal for individuals seeking work-life balance or supplementary income while working remotely.

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

To thrive as a Part Time Remote Customer Service representative, you need strong communication skills, problem-solving ability, and typically a high school diploma or equivalent. Familiarity with customer relationship management (CRM) software, live chat platforms, and basic computer systems is often required. Exceptional patience, active listening, and self-motivation help individuals excel in a remote environment. These skills ensure efficient customer support, high satisfaction rates, and effective independent work.

What are some common challenges faced in a part time remote customer service role, and how can I prepare for them?

Part-time remote customer service roles often present challenges such as managing time effectively, staying motivated without in-person supervision, and handling a variety of customer concerns through digital channels. To prepare, it's important to establish a dedicated workspace, develop strong written and verbal communication skills, and familiarize yourself with the company's support tools and resources. Regularly checking in with your team virtually and seeking feedback can also help you stay connected and improve your performance.

Are there any legitimate part-time remote customer service jobs?

Part-time remote customer service jobs are widely available and often involve handling customer inquiries via phone, email, or chat platforms. Reputable companies typically require good communication skills, basic computer knowledge, and sometimes specific training or certifications. Job seekers should verify the legitimacy of listings and avoid positions that ask for upfront fees or personal financial information.

What are the most commonly searched types of Remote Customer Service jobs in Tooele, UT?

The most popular types of Remote Customer Service jobs in Tooele, UT are:

What cities near Tooele, UT are hiring for Part Time Remote Customer Service jobs?

Cities near Tooele, UT with the most Part Time Remote Customer Service job openings:

Infographic showing various Part Time Remote Customer Service job openings in Tooele, UT as of August 2026, with employment types broken down into 100% Part Time. Highlights an 100% Remote job distribution, with an average salary of $36,707 per year, or $17.6 per hour.

Director of Biostatistics

micro1 AI

Salt Lake City, UT • Remote

$60 - $65/hr

Part-time

Posted 14 days ago


Job description

Role Title: Biostatistician


Role Type: Contractor


Location: Remote


micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a dynamic customer project focused on AI-assisted clinical research. 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. Author and review evaluation tasks that require deriving, reproducing, or validating statistical outputs from clinical datasets and associated tables, figures, and listings (TFLs).
  2. Apply expert judgment to assess the correctness and consistency of reported estimates, confidence intervals, p-values, analysis populations, and missing data handling in alignment with the statistical analysis plan (SAP).
  3. Identify discrepancies between statistical outputs and their narrative descriptions in clinical study reports (CSR), including subtle errors in population definitions, censoring rules, or multiplicity handling.
  4. Establish defensible ground truth for each evaluation task, documenting the derivation process to enable independent verification.
  5. Provide structured written rationales distinguishing true statistical errors from acceptable methodological alternatives, employing clear and concise communication.
  6. Collaborate with a multidisciplinary project team, providing statistical insights and feedback as needed to refine evaluation tasks and criteria.


Preferred Qualifications

  1. 5+ years as a biostatistician supporting clinical trials at a sponsor, CRO, or academic trials unit.
  2. Hands-on experience producing or quality controlling TFLs for regulatory submissions and working directly from CDISC SDTM/ADaM datasets.
  3. Solid understanding of statistical methods used in confirmatory trials, including survival analysis, mixed models, covariate adjustment, multiplicity control, and estimand and missing-data strategies under ICH E9(R1).
  4. Proficiency in SAS and/or R, with the ability to independently reproduce analyses from written specifications.
  5. Ability to interpret SAPs and ensure reported results are consistent with pre-specified analyses.
  6. Advanced degree (MSc or PhD) in Biostatistics, Statistics, or a closely related quantitative field.
  7. Nice to have: Experience as lead statistician on pivotal/registrational studies, authoring or reviewing CSR statistical sections, oncology endpoint expertise, and exposure to AI-assisted statistical review tools.