AI Trainer, SOQL Developer

Overview

Labelbox empowers teams to capitalize on the latest advances in generative AI and LLMs by injecting these systems with the right degree of human supervision and automation. Our platform is utilized by Fortune 500 enterprises including Walmart, Procter & Gamble, Genentech, and Adobe.

About the Role

We are seeking a SOQL Developer with a strong focus on generating and evaluating high-quality data to join our team. Your expertise will contribute directly to the improvement of AI models by ensuring the data they learn from is accurate, relevant, and of the highest quality.

Main Duties

• Generate SOQL queries based on given prompts, ensuring accuracy, efficiency, and alignment with data annotation standards.

• Assess the quality of AI-generated SOQL queries and provide clear, human-readable evaluations.

• Ensure the integrity and quality of data retrieved through SOQL queries, identifying and rectifying any inconsistencies or errors.

• Solve data retrieval and manipulation challenges by writing optimized SOQL queries.

• Create comprehensive summaries of data problems and their solutions within the Salesforce ecosystem.

• Collaborate with AI and machine learning teams to enhance data annotation processes and contribute to model training efforts.

Requirements

• Fluency in English with the ability to articulate code and abstract concepts clearly.

• Proficiency with SOQL and familiarity with Salesforce Apex programming.

• Bachelor's degree in Computer Science, Information Systems, or equivalent. Students are welcome to apply.

• Strong attention to detail and a commitment to producing high-quality data.

• Experience working with Salesforce data models, object relationships, and data annotation practices.

• Interest in AI and machine learning concepts, particularly in relation to data annotation and model training.

• Ability to critically evaluate data for accuracy, relevance, and completeness.

Important Information

Type: Freelance position compensated on an hourly basis. This is not an internship opportunity.
Work Authorization: Candidates must be authorized to work in their country of residence; no sponsorship for this 1099 contract role.
Eligibility for International Students: Specific circumstances should be discussed with a tax or immigration advisor.
Compensation: The expected hourly rate range for United States-based candidates is $15—$150 USD, varying based on skills, experience, and location.
Remote and Hybrid Work Model: While we embrace remote work, we have transitioned to a hybrid model to encourage collaboration within our tech hubs located in the San Francisco Bay Area, New York City Metro Area, and Wrocław, Poland.
Your Personal Data Privacy: Any personal information you provide will be processed in accordance with Labelbox’s Job Applicant Privacy notice.