Coding Expert - SQL
Alignerr · United States
- Hybrid
- Contract
- $100,000 / year
- United States
Tailored resume — keyword-matched to this role.
Hiring manager — we find who's hiring.
Intro email — drafted to reach them directly.
Job highlights
- Evaluate and write AI-generated SQL queries.
- Work remotely on your own schedule.
- Improve AI models for top companies.
- Assess SQL expertise via AI interview.
- Earn $25-$100 per hour.
About the role
Coding Expert - SQL (Contract)
Labelbox is seeking a skilled SQL Expert for a remote contract engagement. This role involves shaping the data that powers frontier AI.
Quick Facts
- Engagement: Hourly, at-will contractor
- Schedule: Fully remote & asynchronous (min. 15 hrs/week)
- Pay Range (US): $25 – $100 per hour
- Start Date: Rolling — staffed as projects launch
What You'll Do
- Evaluate AI-generated SQL queries for accuracy, performance, and best practices.
- Write SQL queries across a range of relational database systems.
- Explain your approach and highlight reasoning in plain English.
- Flag common errors in joins, filters, aggregations, or schema assumptions.
You're a Great Fit If
- Fluent in English with clear analytical thinking.
- Expertise in SQL: Proficient in writing complex queries, understanding indexing, and normalizing databases.
- 3-5 years of experience with databases such as MySQL, PostgreSQL, SQL Server, or Oracle is a plus.
- Bachelor’s degree (or pursuing one) in Computer Science, Data Science, or related field.
- Bonus: Experience with data labeling, RLHF, or other AI training projects.
About the Role
- Flexible workload — work from anywhere, on your own schedule.
- High impact — your craft directly improves models used by top AI labs & Fortune 500 teams.
- Clear ownership — know exactly what success looks like and have autonomy to deliver.
- Growth potential — consistent high performers spearhead new programs and mentor incoming SMEs.
Interview Process
- Complete a screening with Zara, our AI interviewer in English, to learn more about your background and experience.
- Domain-specific Zara interview to assess your SQL expertise, including performance optimization (indexing, query plans), data modeling, and advanced SQL features like window functions, CTEs, and transaction management.
About Labelbox
Labelbox builds the data engine that accelerates breakthrough AI. Our platform, expert services, and marketplace let teams iterate on data as nimbly as they iterate on code, enabling safer, smarter models in production. We’re backed by SoftBank, Andreessen Horowitz, B Capital, Gradient Ventures, Databricks Ventures, and Kleiner Perkins, and trusted by leading research labs and enterprises worldwide.
Ready to Apply?
Click “Apply” above, and take one or more domain specific assessments. We review candidates on a rolling basis and will contact you if your background matches an active project.
Key skills/competency
- SQL Expertise
- Data Analysis
- Database Management
- Query Optimization
- AI Training
- Data Labeling
- MySQL
- PostgreSQL
- SQL Server
- Oracle
Skills & topics
- SQL Expert
- SQL
- Database
- Query Optimization
- Data Analysis
- AI
- Machine Learning
- Remote
- Contract
- Labelbox
How to get hired
- Tailor your resume: Highlight SQL expertise, database experience (MySQL, PostgreSQL, etc.), and any AI/data labeling projects.
- Ace the AI screening: Be prepared for Zara's initial interview to showcase clear communication and analytical thinking.
- Demonstrate SQL mastery: For the domain-specific interview, practice explaining query optimization, data modeling, and advanced SQL features.
- Showcase AI passion: Emphasize any experience with RLHF or AI training projects to align with Labelbox's mission.
- Apply promptly: Submit your application and assessments as soon as possible due to rolling admissions.
Technical preparation
Practice complex SQL queries and optimization.,Review database indexing and normalization concepts.,Prepare to explain query plans and data models.,Study window functions and CTEs.
Behavioral questions
Describe a complex SQL problem you solved.,How do you ensure SQL query accuracy?,Explain your analytical thinking process.,How do you handle ambiguity in data?
Frequently asked questions
- What is the work arrangement for the SQL Expert role at Labelbox?
- The SQL Expert role at Labelbox is a fully remote and asynchronous contract position, allowing you to work from anywhere with a minimum commitment of 15 hours per week.
- How is the pay determined for the SQL Expert role at Labelbox?
- The pay for the SQL Expert role at Labelbox is hourly, with a range of $25 to $100 per hour for candidates within the United States.
- What specific SQL skills are most important for this role?
- Key SQL skills include writing complex queries, understanding indexing, database normalization, performance optimization, data modeling, and advanced features like window functions and CTEs. Experience with MySQL, PostgreSQL, SQL Server, or Oracle is beneficial.
- What is the interview process like for the SQL Expert position?
- The interview process involves an initial screening with an AI interviewer named Zara, followed by a domain-specific interview to assess your SQL expertise, including performance optimization and advanced SQL concepts.
- Does Labelbox require a specific degree for the SQL Expert role?
- While a Bachelor’s degree in Computer Science, Data Science, or a related field is preferred, Labelbox also considers candidates who are currently pursuing one.
- Is there an opportunity for growth in this contract role?
- Yes, consistent high performers have the potential to spearhead new programs and mentor incoming Subject Matter Experts (SMEs), indicating growth opportunities within the Labelbox ecosystem.
- What kind of projects will a SQL Expert work on at Labelbox?
- You will be evaluating and writing AI-generated SQL queries, directly contributing to the data that powers AI models used by top AI labs and Fortune 500 companies.
- What does 'asynchronous' mean for this remote role?
- Asynchronous work means you can complete your tasks on your own schedule, without the need for real-time collaboration or set meeting times, offering significant flexibility.