SME Careers Tech Stack

Distributed AI training workforce for model safety and evaluation

Technology, Information and Internet San Francisco, California 11–50 employees Privately Held

SME Careers operates a global network of annotators and evaluators who label safety data, run red-team tests, and audit model behavior for AI labs. The stack spans R, Python, SQL, and mobile frameworks—a sharp signal that the workforce tools handle both statistical analysis and consumer-grade interfaces. The organization is scaling rapidly (342 roles posted in 30 days, 710 total open), with data roles dominating the headcount; the pain-point list clusters tightly around model bias, safety, and accuracy—revealing that their core offering sits at the intersection of AI safety infrastructure and distributed QA.

Tech Stack 68 technologies

Core StackC++ Python pandas NumPy scikit-learn Swift SwiftUI Kotlin JavaScript React Angular Vue R tidyverse data.table ggplot2 SuperAnnotate Bash PowerShell awk sed grep Azure PowerShell SQL C iOS UIKit Android Ktor Android Jetpack+38 more

What SME Careers Is Building

◆Challenges

Improving ai model accuracy
Reducing bias in ai models
Preventing unsafe model outputs
Reducing ai model inaccuracies
Ensuring high-quality bilingual training data
Ensuring model reliability
Reducing ai-generated code errors
Inaccurate ai reasoning
Improving safety labeling accuracy
Reducing model bias

▲Active Projects

Safety data labeling
Red-teaming and adversarial testing
Safety-focused training example curation
Policy localization
Ai response evaluation
Localizing safety policies
Ai training content development
Expanding global network
Model behavior audit
Quality-check safety data

Hiring Activity

Accelerating700 roles · 340 in 30d

Department

Data

365

Engineering

164

Security

Legal

Product

Finance

Research

Seniority

Mid

343

Senior

306

Junior

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About SME Careers

SME Careers connects remote workers with AI teams for structured training work: annotation, evaluation, fact-checking, and content review. The model is distributed and weekly-paid. The company operates across 25+ hiring countries, with the largest concentration in data-related roles (365 open positions), followed by engineering (164) and security (97). Active project work centers on safety-critical tasks—red-teaming, adversarial testing, policy localization, and quality assurance for model outputs. The talent mix skews mid-to-senior, signaling they recruit for quality control and expertise, not volume alone.

HeadquartersSan Francisco, California

Company Size11–50 employees

Hiring MarketsIndonesia, Egypt, India, France, Syria, United States, Bangladesh, Italy

Frequently Asked Questions

What countries does SME Careers hire from?

SME Careers hires across 25+ countries including Indonesia, Egypt, India, France, Bangladesh, Japan, Brazil, China, Germany, South Korea, Portugal, Malaysia, Vietnam, Morocco, Philippines, and others, enabling a globally distributed workforce.

What is SME Careers working on?

Current projects focus on safety-critical AI work: safety data labeling, red-teaming and adversarial testing, policy localization, AI response evaluation, model behavior audits, and quality checks on safety data.

What tech stack does SME Careers use?

The stack includes R, Python, SQL, pandas, NumPy, scikit-learn for analysis; React, Angular, Vue for interfaces; and iOS/Android (Swift, Kotlin) for mobile. SuperAnnotate is their core labeling platform.