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No Experience Python Jobs in Providence, RI (NOW HIRING)

... least one programming language (Python preferred)Solid experience in writing complex SQL ... Note: No amount of pay is considered to be wages or compensation until such amount is earned ...

Software Developer

East Greenwich, RI · On-site

$90 - $120/hr

Implement functionality using C++ and Python * Test creation as needed * Work as an individual ... Experience developing software with C++ * Demonstrated professional expertise in understanding and ...

Data Engineer II

Carolina, RI · On-site +1

$115K - $138K/yr

Proficiency in Python and SQL with experience developing ETL/ELT processes, data pipelines, and data integration solutions. * Experience utilizing modern data engineering tools and frameworks such as ...

Data Engineer II

Carolina, RI · On-site +1

$115K - $138K/yr

Proficiency in Python and SQL with experience developing ETL/ELT processes, data pipelines, and data integration solutions. * Experience utilizing modern data engineering tools and frameworks such as ...

Showing results 41-60

No Experience Python information

See Providence, RI salary details

$13

$59

$87

How much do no experience python jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for no experience python in Providence, RI is $59.22, according to ZipRecruiter salary data. Most workers in this role earn between $48.80 and $67.26 per hour, depending on experience, location, and employer.

What types of projects or tasks can I expect as someone starting out in a Python role with no prior experience?

If you're new to Python and joining a team in an entry-level position, you'll typically start by supporting tasks like writing basic scripts, debugging existing code, automating repetitive processes, or assisting with simple data analysis. You may collaborate closely with more experienced developers, participate in code reviews, and gradually take on more complex assignments as you build your skills. Many teams offer mentorship or structured onboarding to help you get up to speed with their codebase and best practices. Entry-level Python roles often provide a supportive environment designed to help you grow and advance your technical abilities over time.

What are the key skills and qualifications needed to thrive in the no experience python position, and why are they important?

To thrive in an entry-level Python developer role with no prior experience, you need a foundational understanding of Python programming concepts, such as variables, control structures, and basic data structures, often gained through self-study or online courses. Familiarity with tools such as code editors (VS Code, PyCharm) and version control systems like Git is also beneficial, and entry-level certifications such as Python Institute’s PCEP can strengthen your application. Eagerness to learn, problem-solving ability, and effective communication are standout soft skills for collaborating with teammates and adapting quickly. These skills and qualities help new developers contribute meaningfully to projects while building expertise and confidence in professional software development.

What are the most commonly searched types of Python jobs in Providence, RI?

The most popular types of Python jobs in Providence, RI are:

What are popular job titles related to No Experience Python jobs in Providence, RI?

For No Experience Python jobs in Providence, RI, the most frequently searched job titles are:

What job categories do people searching No Experience Python jobs in Providence, RI look for?

The top searched job categories for No Experience Python jobs in Providence, RI are:

What cities near Providence, RI are hiring for No Experience Python jobs?

Cities near Providence, RI with the most No Experience Python job openings:

Infographic showing various No Experience Python job openings in Providence, RI as of August 2026, with employment types broken down into 47% Full Time, 13% Part Time, and 40% Contract. Highlights an 90% In-person, 5% Hybrid, and 5% Remote job distribution, with an average salary of $123,180 per year, or $59.2 per hour.

AI Agent Trajectory Annotator and Reviewer

Bespoke Labs

North Dartmouth, MA • On-site

$20 - $30/hr

Full-time

Posted 6 days ago


Job description

Type: Contract, hourly

Location: Remote

Hours: 20–30 per week

Pay: $20–30/hour, based on experience and language coverage

Start: Immediate

ABOUT THE ROLE

We evaluate how well advanced AI coding agents solve real engineering problems. An agent is given a real open source codebase inside a container and a hard task, then works on its own for 80 to 250 steps. A trajectory is the full record of that run — every command, result, and decision.

You will do two jobs, and you should expect either on any given day.

•Annotate — Read a trajectory nobody has looked at yet and judge it step by step.

• Review — Take an existing annotation, written by our AI tooling or another person, and confirm, correct, or reject it.

TASKS YOU'LL SEE

• Feature build — Add a working feature to a live library without breaking anything that already worked.

• Rebuild — Work out what a compiled tool does by running it, then rebuild it to match its output, exit codes, and file effects.

• Bug hunt — Find and fix twenty undocumented bugs across a dozen files with no test suite, then record what caused them.

Mostly Python and Go, with some Rust, C, and Ct+. A trajectory runs about 100 steps.

WHAT YOU JUDGE IN A TRAJECTORY

• Was the command right for the state the environment was actually in?

• Did the agent read the previous output correctly?

• Was the step wrong, or only inefficient — these are scored differently.

• Where did the run first go off course — usually earlier than where it visibly broke.

• Did the agent notice its own mistake and recover, or keep building on a false assumption?

• Did it game the grader instead of solving the task (e.g., weakening a test or hardcoding an expected value)?

WHAT WE NEED FROM YOU

• Experience — 2+ years in software engineering, DevOps, or site reliability, with real debugging in real codebases.

• Languages — Strong in Python or Go, and able to read a language you've never used.

• Linux — Comfortable with logs, running processes, build failures, and containers.

• Workflow — Everyday Git, diffs, pull requests, and issue tracking.

• Debugging — Able to work with no test suite and no error message pointing at the cause.

• Focus — Able to hold context across a long run, because step 74 can depend on step 12.

• Writing — Clear English, since every judgement needs an explanation another engineer can check.