AI Trainer, SOQL Developer

Alignerr.com is a community of subject matter experts from several disciplines who align AI models by creating high-quality data in their field of expertise to build the future of Generative AI. Alignerr is operated by Labelbox. Labelbox is the leading data-centric AI platform for building intelligent applications. Teams looking to capitalize on the latest advances in generative AI and LLMs use the Labelbox platform to inject these systems with the right degree of human supervision and automation. Whether they are building AI products by using LLMs that require human fine-tuning, or applying AI to reduce the time associated with manually-intensive tasks like data labeling or finding business insights, Labelbox enables teams to do so effectively and quickly.

Current Labelbox customers are transforming industries within insurance, retail, manufacturing/robotics, healthcare, and beyond. Our platform is used by Fortune 500 enterprises including Walmart, Procter & Gamble, Genentech, and Adobe, as well as hundreds of leading AI teams. We are backed by leading investors including SoftBank, Andreessen Horowitz, B Capital, Gradient Ventures (Google's AI-focused fund), Databricks Ventures, Snowpoint Ventures and Kleiner Perkins.

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.

• 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.

• 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.

This is a freelance position compensated on an hourly basis. Please note that this is not an internship opportunity. Candidates must be authorized to work in their country of residence, and we do not offer sponsorship for this 1099 contract role. International students on a valid visa may be eligible to apply; however, specific circumstances should be discussed with a tax or immigration advisor. We are unable to provide employment documentation at this time. Compensation rates may vary for non-US locations.

Excel in a remote-friendly hybrid model.We are dedicated to achieving excellence and recognize the importance of bringing our talented team together. While we continue to embrace remote work, we have transitioned to a hybrid model with a focus on nurturing collaboration and connection within our dedicated tech hubs in the San Francisco Bay Area, New York City Metro Area, and Wrocław, Poland. We encourage asynchronous communication, autonomy, and ownership of tasks, with the added convenience of hub-based gatherings.

Your Personal Data Privacy: Any personal information you provide Labelbox as a part of your application will be processed in accordance with Labelbox’s Job Applicant Privacy notice.

Any emails from Labelbox team members will originate from a @labelbox.com email address. If you encounter anything that raises suspicions during your interactions, we encourage you to exercise caution and suspend or discontinue communications. If you are uncertain about the legitimacy of any communication you have received, please do not hesitate to reach out to us at recruiting@labelbox.com for clarification and verification.