Salad
DevOps
4.1
/5
Toolio reviewer
Orchestrates AI workloads across global GPU pools.
Browse by the job,
not the category
Most people arrive knowing what they need done, not which category it lives in. 65 jobs grouped into 12 kinds of work. Pick the kind on the left, or search.
Tick Compare on any two to four cards to put them side by side.
LLM Flourishing Feedback Chrome Extension
Healthcare
3.9
/5
Toolio reviewer
Gives feedback on how LLM applications affect wellbeing, helping keep AI labs accountable.
ABATA AI
Predictive Analytics
3.9
/5
Toolio reviewer
A CRM that automates data entry and adds an AI co-pilot named Duke for daily tasks.
Keywords AI
Analytics
4.0
/5
Toolio reviewer
Route LLM traffic through one gateway, observe calls in traces. But lacks built-in prompt management.
Treppan Technologies
AI Developer Tools
3.8
/5
Toolio reviewer
AI experts in data science and machine learning.
Gooey AI
Financial Planning
4.0
/5
Toolio reviewer
Gooey.AI helps build multilingual AI solutions, but lacks integration with custom datasets.
Faceit CS2 Precitor Extension
Predictive Analytics
4.6
/5
Toolio reviewer
Predicts win odds for each map in a FACEIT veto using a model trained on 30 million matches.
Custom Vision AI
AI Image Recognition
3.8
/5
Toolio reviewer
Upload and train custom computer vision models.
Soccersm AI
Predictive Analytics
4.4
/5
Toolio reviewer
Soccersm AI analyzes game data to improve team performance. Simple but focused.
Pathway
Predictive Analytics
3.7
/5
Toolio reviewer
Tet Latvia offers a warning, Pathway helps protect your data but can be slow to set up.
Shape
Predictive Analytics
3.8
/5
Toolio reviewer
Shape is your AI data analyst, querying databases in plain English.
PostgresML
AI Developer Tools
3.9
/5
Toolio reviewer
Simplifies RAG and ML apps with Postgres and GPUs, but requires a VPC for more than one node.
Webo.AI
Predictive Analytics
3.9
/5
Toolio reviewer
Smarter Testing, Faster Deployments
OpenLIT
AI Developer Tools
4.0
/5
Toolio reviewer
Trace and evaluate LLMs with OpenTelemetry, manage prompts, and compare models.
Faceit Predictor - Chrome Extension
Predictive Analytics
4.3
/5
Toolio reviewer
Calculates win odds for FACEIT matches and can auto-veto the weakest map for you.
LM Studio
AI Developer Tools
4.0
/5
Toolio reviewer
LM Studio lets you run LLMs offline on your laptop. Supports various models.
Visage Technologies
Network Security
3.9
/5
Toolio reviewer
Expert in AI/ML solutions, Visage Technologies delivers efficient and compliant products with custom edge AI development.
Epoch AI
Predictive Analytics
3.8
/5
Toolio reviewer
Investigating AI trends for society.
Epoch AI
Predictive Analytics
3.8
/5
Toolio reviewer
Epoch AI offers insightful trends and statistics on AI advancements, but lacks real-time data updates.
WebExtLLM Chrome Extension
Content Creation
3.7
/5
Toolio reviewer
Web-native LLMs in your browser.
Postgres
AI Developer Tools
3.9
/5
Toolio reviewer
Create PostgreSQL databases instantly.
LAION
AI Developer Tools
3.9
/5
Toolio reviewer
LAION provides open datasets and models for machine learning research.
Governance AI
Predictive Analytics
3.7
/5
Toolio reviewer
GovAI produces rigorous research and fosters talent for navigating AI governance.
Data scientist and ML engineer
Models, training data and machine learning.
All software and it 7
Software developer 434
Web developer 97
Data scientist and ML engineer 119
DevOps engineer 84
API and integrations developer 116
Cybersecurity analyst 186
IT and support technician 8
Data scientists and ML engineers prepare data, train and evaluate models, run experiments and move working models into production. The tools here cover that pipeline: model hubs and libraries (HuggingFace), no-code and AutoML platforms (BigML, Lobe, Abacus.AI), GPU compute (Vast.ai, Lightning AI, Modal) and local LLM runners like LM Studio. Compare reproducibility and how easily you can export a trained model.
Questions people ask
What is the difference between AutoML and writing models myself?
AutoML platforms such as BigML and Abacus.AI choose algorithms and tune settings for you, which is fast for standard tabular problems. Writing models yourself gives more control over features, architecture and evaluation. Many teams use AutoML for a baseline, then build custom models when it falls short.
How do I run an LLM locally?
Apps such as LM Studio download open models and run them on your own machine, so data stays local. You need enough memory for the model size you choose, and smaller quantised models trade some quality for speed. This suits private data and offline experiments.
Where can I rent GPUs for training?
Marketplaces and platforms such as Vast.ai, Lightning AI and Modal rent GPU time by usage instead of hardware ownership. Compare availability, startup time, storage and how they handle interrupted jobs. Keep checkpoints saved, since cheaper capacity can be taken away mid-run.