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Remote Non Phone Jobs in Springfield, IL (NOW HIRING)

CSC Corptax

Client Success Manager

Springfield, IL · Remote

Client Success Manager Remote-Americas Monday to Friday 9:00 am to 6:00 pm or 10:00 am to 7:00 pm ... Ensure a minimum of three proactive, non-support case-related contacts per customer assignment per ...

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Remote Non Phone information

See Springfield, IL salary details

$8

$15

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How much do remote non phone jobs pay per hour?

As of Jul 26, 2026, the average hourly pay for remote non phone in Springfield, IL is $15.86, according to ZipRecruiter salary data. Most workers in this role earn between $13.12 and $17.16 per hour, depending on experience, location, and employer.

What is a Remote Non Phone job?

A Remote Non Phone job is a work-from-home position that does not require talking on the phone. These jobs typically involve tasks like data entry, chat support, transcription, writing, or online research. They are ideal for individuals who prefer written communication or need a quiet work environment. Many companies offer these roles in fields such as customer support, administration, and content creation.

What are some common challenges faced in remote non phone positions, and how can I overcome them?

One of the most common challenges in remote non phone roles is maintaining clear communication without verbal interaction, which can sometimes lead to misunderstandings or delays. To overcome this, it's important to develop strong written communication skills and proactively check in with your team using collaboration tools. Staying organized and managing your time effectively can also help you meet deadlines and prioritize tasks in a self-directed work environment. Regularly updating your progress and being responsive in chat or email threads will ensure you remain connected and productive. Embracing these strategies will make your remote experience smoother and more successful.

What are the key skills and qualifications needed to thrive in the Remote Non Phone position, and why are they important?

To thrive in a Remote Non Phone role, candidates need strong written communication, computer literacy, and attention to detail, often backed by experience in data entry, content moderation, or email-based customer support. Familiarity with collaboration platforms like Slack, project management tools such as Asana or Trello, and proficiency in MS Office or Google Workspace are typically required. Exceptional time management, self-motivation, and the ability to work independently make individuals stand out. These skills ensure productivity, clear communication, and efficient workflow in a remote, non-phone-based work environment.

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Infographic showing various Remote Non Phone job openings in Springfield, IL as of July 2026, with employment types broken down into 1% As Needed, 76% Full Time, 18% Part Time, 1% Temporary, 3% Contract, and 1% Nights. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution, with an average salary of $32,999 per year, or $15.9 per hour.

Senior Software Engineer Applied AI

Advanced Monitored Caregiving Inc.

Springfield, IL • Remote

$121K - $160K/yr

Full-time

Posted 11 days ago

Job description

Senior Software Engineer: Applied AI (Voice Agents & ML Systems)

AMC Health · Remote (US) · Full-time

The pitch

We build and operate production AI voice agents that hold real phone conversations in a regulated healthcare setting, plus the machine learning and LLM pipelines around them. This is one seat that spans four disciplines that rarely come together: real-time systems, LLM engineering, traditional machine learning, and serious cloud infrastructure, all in production, all with real consequences. If you are the kind of engineer who gets restless doing one thing, this role is the opposite problem.

What you'll work across

Real-time voice AI

  • Streaming, low-latency speech-to-speech systems built on modern LLMs
  • Telephony and real-time media (call control, live audio streaming)
  • Audio handling and the quirks of real human conversation (interruptions, timing, noise)
  • Concurrency on a latency-sensitive path, where p99 matters and a stall is something a caller hears

LLM engineering

  • Wrapping nondeterministic models in deterministic control so they behave reliably in production
  • Multi-model pipelines, prompt design, and cost/latency budgeting
  • Evaluation harnesses, including LLM-as-judge and automated agent-tests-agent approaches
  • Agentic tooling that gives AI systems safe, structured access to infrastructure

Traditional (non-LLM) machine learning

  • End-to-end ML pipelines: feature engineering, model training, and scheduled inference
  • Imbalanced, messy real-world data; calibration and explainability for non-technical consumers
  • Turning research notebooks into reproducible, auditable production pipelines

Cloud and infrastructure

  • Infrastructure as code across multiple environments (we run on AWS)
  • Managed compute, data, streaming, and orchestration services
  • Security engineering in a regulated setting: encryption, least-privilege access, strict data-handling discipline
  • Observability and telemetry-driven debugging, tracing a production issue from a metric anomaly to root cause

Plus occasional full-stack work on internal tools, and an engineering workflow that leans heavily on AI coding assistants, with human accountability for every change.

What you'll actually do

  • Ship and debug code on a live, real-time voice pipeline where latency and correctness are user-facing
  • Design control systems around LLMs: guardrails, budgets, watchdogs, safe fallbacks
  • Build and operate LLM evaluation and batch-analysis pipelines
  • Own traditional ML workflows from data to scheduled production inference
  • Trace production issues from a metric anomaly to root cause, including building the evidence when the cause is a vendor

Must-haves

  • 7+ years building and operating production backend systems, with strong general-purpose programming skills (we work primarily in Python)
  • Experience running distributed systems in the cloud; comfortable debugging from telemetry to root cause
  • Hands-on production experience with LLMs or generative AI (any provider or framework), plus the judgment to know when not to use a model
  • Working fluency across the traditional machine learning lifecycle (you productionize; you do not need to publish)
  • Disciplined in a regulated environment: small, reviewable changes and careful handling of sensitive data

Nice-to-haves

  • Real-time media or telephony experience
  • Front-end / full-stack ability
  • ML pipeline experience, vector search, or embeddings
  • Fluency with AI coding assistants (our workflows assume them, with human accountability for every change)

How we work

Smallest correct change wins. Every behavior change is validated against the live system. Evidence over opinion in debugging. Code review is rigorous. Safety and privacy gate everything.

Work authorization (no exceptions)

This role is open only to US citizens and lawful permanent residents (Green Card holders). We cannot consider candidates who require visa sponsorship now or in the future, and we are unable to make exceptions of any kind.

How to apply

Please submit both of the following:

  • Your LinkedIn profile URL
  • A phone number where we can reach you

A resume is welcome but optional; the two items above are required.

Apply