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Python Hunting Jobs in Florida (NOW HIRING)

... hunting, digital forensics, and configure alerting rules. • Identify and propose areas for ... Java, Python or C++. • Have excellent written and verbal communication skills. • Ability to ...

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Python Hunting information

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$9

$43

$64

How much do python hunting jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for python hunting in Florida is $43.81, according to ZipRecruiter salary data. Most workers in this role earn between $36.11 and $49.76 per hour, depending on experience, location, and employer.

What is python hunting?

Python hunting refers to the practice of searching for and capturing invasive Burmese pythons, primarily in regions like the Florida Everglades where these snakes are a threat to local ecosystems. Python hunters help control the python population, which has grown rapidly and negatively impacts native wildlife. This job often involves tracking, safely capturing, and sometimes humanely euthanizing the snakes. Many hunters work as part of state-sponsored programs or under special permits, and they play a vital role in conservation efforts.

What are some common challenges faced by professionals involved in python hunting, and how can they be addressed?

Professionals engaged in python hunting, particularly in regions like Florida, often face challenges such as navigating difficult terrain, handling large and potentially dangerous snakes, and working in varying weather conditions. To address these challenges, hunters typically undergo specialized training in safe capture and handling techniques, use appropriate equipment, and often work in teams for increased safety. Collaboration with wildlife agencies and ongoing education about local ecosystems are also essential for success and personal safety in this role.

What are the key skills and qualifications needed to thrive as a python hunter, and why are they important?

To thrive as a Python Hunter, you need knowledge of local wildlife, safe animal handling techniques, and often a relevant permit or certification. Familiarity with tools such as snake tongs, traps, GPS devices, and sometimes airboats is typically required. Strong observation skills, resilience, and effective communication are valuable soft skills for ensuring safety and coordination with team members or authorities. These skills are crucial to safely and efficiently capture invasive pythons, protect native ecosystems, and comply with legal and safety protocols.

What is the difference between Python Hunting vs Data Analyst?

AspectPython HuntingData Analyst
Required CredentialsPython programming skills, certifications in Python or data scienceDegree in statistics, mathematics, or related field; proficiency in data tools
Work EnvironmentTech companies, startups, freelance projectsCorporate offices, consulting firms, finance, healthcare
Employer & Industry UsageTech industry, data-driven companiesBusiness, finance, healthcare, marketing
Common Search & ComparisonYesYes

Python Hunting focuses on identifying and extracting Python code or scripts, often for security or development purposes. Data Analysts analyze data sets to generate insights and support decision-making. While both roles require analytical skills, Python Hunting emphasizes coding and security, whereas Data Analysts focus on data interpretation and reporting.

What are the most commonly searched types of Python Hunting jobs in Florida?

The most popular types of Python Hunting jobs in Florida are:

What cities in Florida are hiring for Python Hunting jobs?

Cities in Florida with the most Python Hunting job openings:

Infographic showing various Python Hunting job openings in Florida as of August 2026, with employment types broken down into 83% Full Time, 6% Part Time, and 11% Contract. Highlights an 83% In-person, 11% Hybrid, and 6% Remote job distribution, with an average salary of $91,119 per year, or $43.8 per hour.

AI Agent Trajectory Annotator and Reviewer

Bespoke Labs

Pensacola, FL

$20 - $30/hr

Full-time

Posted 5 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.