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Remote Photo Lab Jobs (NOW HIRING)

Remote Photo Lab information

What is the difference between Remote Photo Lab vs Remote Photo Editor?

AspectRemote Photo LabRemote Photo Editor
CredentialsBasic photography knowledge, technical skillsPhoto editing skills, software proficiency
Work EnvironmentLaboratory or studio setting, sometimes remoteRemote, computer-based work
Industry UsagePhotography labs, printing servicesMedia, advertising, publishing
Common TasksDeveloping photos, printing, quality controlEditing images, retouching, color correction

Remote Photo Lab roles focus on the physical processing and printing of photographs, often requiring technical skills and knowledge of photographic equipment. Remote Photo Editors primarily work on digital image editing, retouching, and enhancement using software. While both roles involve working with images, the Photo Lab is more technical and hands-on, whereas the Photo Editor emphasizes digital artistry and software proficiency.

What are the key skills and qualifications needed to thrive as a Remote Photo Lab Technician, and why are they important?

To thrive as a Remote Photo Lab Technician, you need expertise in photo editing, color correction, and image processing, typically supported by experience or training in photography or graphic design. Familiarity with industry-standard software such as Adobe Photoshop, Lightroom, and digital asset management systems is essential. Attention to detail, time management, and strong communication skills help ensure accuracy and efficient collaboration with clients or team members. These skills are critical for delivering high-quality, timely results in a remote work environment where clear communication and technical proficiency directly impact client satisfaction.

What is a Remote Photo Lab?

A Remote Photo Lab is a digital service that allows customers to upload photos online for processing, printing, or editing, which are then mailed or digitally returned. These labs handle tasks such as photo retouching, printing enlargements, creating photo books, and restoring old photographs, all without the customer needing to visit a physical location. Remote Photo Labs are especially popular for convenience and accessibility, letting users manage their orders from anywhere with an internet connection. Some labs also offer professional services for photographers and businesses, including color correction and large batch processing.

How do remote photo lab technicians typically collaborate with photographers and clients to ensure high-quality results?

Remote photo lab technicians often work closely with photographers and clients through digital communication channels such as email, video calls, and file-sharing platforms. They review client specifications, provide feedback on image quality, and discuss necessary edits or enhancements before finalizing orders. Regular check-ins and clear documentation help ensure that expectations are met and that the final product aligns with client needs. This collaborative process requires strong communication skills and attention to detail, as well as familiarity with various editing software and file formats.
More about Remote Photo Lab jobs
What cities are hiring for Remote Photo Lab jobs? Cities with the most Remote Photo Lab job openings:
What are the most commonly searched types of Photo Lab jobs? The most popular types of Photo Lab jobs are:
What states have the most Remote Photo Lab jobs? States with the most job openings for Remote Photo Lab jobs include:
Infographic showing various Remote Photo Lab job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 70% Full Time, 13% Part Time, and 16% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution.

AI Engineer: Computer Vision, LLMs & ML (Remote)

Intellus Build

San Francisco, CA โ€ข Remote

Full-time

Re-posted 17 days ago


Job description

Intellus Build Make Construction Intelligent

Work with ex-Narvar Founding CTO (Unicorn, $1B+). 6 AI patents. Enterprise AI pedigree: Google DCDE, Oracle, Macy's, Walmart Labs.

We're hiring founding team members to transform how the $12T global construction industry buildsfrom residential to mission-critical infrastructure.

AI Engineer: Computer Vision, LLMs & ML

Engineer the AI driving next-generation construction.

Location: Remote-US (San Francisco Bay Area Hybrid Preferred)

Type: Full-time

Compensation: Founding-team equity (12%) + base salary

Construction creates the world around usyet still runs on WhatsApp, spreadsheets, and gut feel. Sites generate terabytes of data dailyyet none of it tells anyone what to do next.

This isn't a data problem. It's an Intelligence problem.

We're building the nervous system for construction. Think Palantir meets Procore, but actually usable by contractors. Our first customers are already begging for access.

You'll be the founding AI engineer, building alongside our founder and construction industry veterans. Async-first. Remote-friendly. Zero bureaucracy. No meetings about meetings. Just ship code that moves dirt and dollars.

You'll turn cutting-edge LLM and vision research into tools that run on dusty job sites and mobile devices.

About the Role

Intellus Build is the Infrastructure of Truththe AI-native operating system that connects dirt to dollars.

The Problem: Construction sites generate terabytes of unstructured data dailyphotos, documents, videos, sensor readings. Currently, this valuable information goes to waste.

Your Mission: Build AI systems that transform construction chaos into actionable intelligence.

What You'll Build

As the founding AI engineer, you'll tackle problems that don't have Stack Overflow answers:

  • Build RAG systems that understand construction terminologyteach AI the difference between 'pour concrete' and 'poor concrete'
  • Deploy computer vision that detects safety violations from grainy phone photos taken at 6 AM
  • Create AI assistants that answer 'What's the status of the Stanford dorm project?' by reasoning across blueprints, contracts, RFIs, and daily photo logs
  • Design real-time progress tracking that works even when construction sites have terrible WiFi
  • Build domain-aware AI that makes construction sites safer and more efficient
  • Build verification systems that track equipment from PO to energization across complex supply chains
Requirements

You are:

  • Recent graduate from top AI program (Stanford AI Lab, MIT CSAIL, or equivalent) OR 23+ years building production ML systems
  • Focused on practical AI applications, not just research demos
  • Comfortable with the full ML stack: data processing model selection deployment monitoring
  • Able to move quicklyyou prototype in hours, not weeks
Must Have
  • Shipped at least one LLM-based application used by real users
  • Experience with RAG, embeddings, and vector databases
  • Strong Python skills plus PyTorch, TensorFlow, or JAX
  • Ability to explain complex ML concepts to non-technical stakeholders
Nice to Have
  • Computer vision experience (YOLO, Segment Anything, etc.)
  • Published ML research or Kaggle competition medals
  • Experience with construction, manufacturing, or industrial datasets
  • Track record of optimizing inference costs
What You'll Work With

We're flexible on the stack, but likely:

  • LLM APIs: OpenAI, Anthropic, Geminimulti-model approach
  • Orchestration: LangChain, LlamaIndex, or custom frameworks
  • Vector stores: Pinecone, Weaviate, or pgvector
  • ML frameworks: PyTorch, TensorFlow, or JAX

You'll help shape these choices as we build.

Why This Role Matters
  • Real-world impact: Your models will help prevent workplace injuries and save lives
  • Unique datasets: Access to proprietary construction data that competitors don't have
  • Greenfield opportunity: Define the AI strategy from day one
  • Domain expertise: Work directly with construction industry veterans
  • Mission-critical scale: Your models will power verification for facilities where downtime isn't an option
  • Pedigree: A Stanford StartX company (elite sub-1% accelerator)
Ready to Build?

You'll complete two quick assessments to show us what you can do.

Top scorers get interviewed. We move fast. No bureaucracy.

Intellus Build is an equal opportunity employer. We welcome candidates from all backgrounds.