Python developer [h1.location_city]
[job_alerts.create_a_job]
Python developer • charleston sc
Remote Senior Python Engineer - AI Trainer
SuperAnnotateCharleston, South Carolina, US- [promoted]
Principal Software Developer / Engineer
Naval Nuclear LaboratoryCharleston, South Carolina, USBackend Java Developer
SynergisticITCharleston, SC, US- [new]
Senior Software Developer
MaximusCharleston, USPower BI Developer
K&L GatesCharlestonSenior Data Solutions Developer
BoeingSC,North Charleston,USASharePoint Developer and Support Specialist
Nakupuna CompaniesCharleston, SC, USSoftware Developer
Booz Allen HamiltonCharleston, SCSalesforce Marketing Cloud Developer
Staffing the UniverseCharleston, SC, United StatesPython Django Web Developer Job at Djangojobs in Charleston
DjangojobsCharleston, SC, United StatesCleared Software Developer
Scientific Research CorporationNorth Charleston, SCRemote Senior Python Engineer - AI Trainer
SuperAnnotateCharleston, South Carolina, US- [job_card.full_time]
- [filters.remote]
As a Senior Python Engineer, you will work remotely on an hourly paid basis to review AI-generated Python solutions and technical explanations, as well as generate high-quality reference content that demonstrates strong software engineering practices. You will assess solutions for correctness, code quality, performance, and adherence to the prompt; identify errors in logic, architecture, or methodology; fact-check technical information; craft clear, step-by-step explanations and exemplary solutions; and rate and compare multiple AI responses based on their reasoning quality and implementation soundness.
This is a fully remote, hourly paid contractor role with SME Careers, a fast-growing AI data services company and subsidiary of SuperAnnotate that provides AI training data to many of the world’s largest AI companies and foundation model labs, where your Python expertise will directly help improve the world’s premier AI models.
Key Responsibilities :
- Develop AI Training Content : Create detailed prompts in various topics and responses to guide AI learning, ensuring the models reflect a comprehensive understanding of diverse subjects.
- Optimize AI Performance : Evaluate and rank AI responses to enhance the model's accuracy, fluency, and contextual relevance.
- Ensure Model Integrity : Test AI models for potential inaccuracies or biases, validating their reliability across use cases.
Your Profile :