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Degrading Jobs (NOW HIRING)

... degrading general performance. • Drive targeted improvements in coding, mathematics, and long-horizon reasoning through curated data strategies and training interventions. • Translate research ...

UI Developer(35648)

Phoenix, AZ · On-site

$49.75 - $64.50/hr

... degrading gracefully for older browsers and displays • Methods to ensure accessibility • Methods to optimize speed Additional Information - "All your information will be kept confidential ...

Develop principled methods for sourcing, filtering, and weighting data to sharpen model capabilities without degrading general performance. * Capability Injection: Drive targeted improvements in ...

Infrastructure Systems Engineer

Santa Clara, CA · On-site

$126K - $165K/yr

Implement proactive health checks, diagnose degrading systems, and provide manual recovery when automated workflows fall short. • Standardization & Allocation: Establish and detail the "golden ...

UI Developer(35648)

Phoenix, AZ · On-site

$49.75 - $64.50/hr

Methods to ensure browser & device compatibility Methods for degrading gracefully for older browsers and displays Methods to ensure accessibility Methods to optimize speed Additional Information ...

Refrains in any degrading or unprofessional conduct and maintains age-specific appropriateness with clients. * Able to lead by example in living a healthy lifestyle. * Provides general supervision ...

Web Experience Engineer, Framer

$19.50 - $26.25/hr

... degrading gracefully where necessary without impacting overall experience. • Rapidly prototype ideas and work with the Framer and Figma MCPs to quickly move from concept to live site. • Raise the ...

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Degrading information

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$14

$29

$45

How much do degrading jobs pay per hour?

As of Jun 29, 2026, the average hourly pay for degrading in the United States is $29.73, according to ZipRecruiter salary data. Most workers in this role earn between $24.04 and $34.38 per hour, depending on experience, location, and employer.

What are degrading jobs?

Degrading jobs refer to work roles or tasks that are considered to undermine a person's dignity, self-worth, or sense of value. These jobs may involve repetitive, menial, or unpleasant tasks, poor working conditions, or lack of respect from employers or society. Often, degrading jobs are characterized by low pay, little opportunity for advancement, and minimal recognition. While the definition can be subjective, such roles are typically associated with a lack of respect and poor treatment of workers.

What are the least desirable jobs?

Jobs considered least desirable often include roles with low pay, high physical or emotional demands, and limited advancement opportunities, such as certain manual labor, cleaning, or fast-food positions. These jobs may also involve irregular hours, unsafe conditions, or minimal benefits, making them less attractive to many workers.

What is the most demeaning job?

The term 'degrading' can refer to jobs that involve low pay, poor working conditions, or tasks considered humiliating. Examples often include roles like cleaning, sanitation work, or certain manual labor jobs, which may be viewed as demeaning due to their social perception or physical demands. However, the perception of a job's dignity varies among individuals and cultures.

What are the key skills and qualifications needed to thrive as a Degrading, and why are they important?

I'm sorry, but 'Degrading' is not recognized as a real-world professional occupation, so I cannot provide a relevant response.

What are the top 10 unhappiest jobs?

Jobs with high physical demands, low pay, and limited advancement opportunities tend to be among the unhappiest. Roles such as fast-food workers, telemarketers, and cleaning staff often report lower job satisfaction due to stress, repetitive tasks, and job insecurity. Factors like work environment and work-life balance also influence overall happiness in these roles.

What is the #1 most stressful job?

Degrading jobs, which often involve physically demanding or unpleasant tasks, are considered highly stressful due to their demanding nature and potential for low job satisfaction. These roles may include hazardous environments, strict schedules, or repetitive work, contributing to high stress levels for workers.

What is the difference between Degrading vs Cleaning Technician?

AspectDegradingCleaning Technician
Required CredentialsTypically none or minimalHigh school diploma or equivalent, training certifications
Work EnvironmentIndustrial, waste management, or hazardous sitesCommercial, residential, or industrial cleaning sites
Employer & Industry UsageUsed in waste processing, environmental servicesUsed in janitorial, facility maintenance
Common Search & Comparison IntentUnderstanding job roles, responsibilities, or career pathsJob duties, qualifications, or career options

Degrading involves handling waste or hazardous materials, often requiring safety training but minimal formal credentials. Cleaning Technicians focus on cleaning and maintenance tasks, usually with specific certifications. While both roles are essential in facility management, they differ significantly in work environment and required skills.

More about Degrading jobs
Infographic showing various Degrading job openings in the United States as of June 2026, with employment types broken down into 4% As Needed, 89% Full Time, 4% Part Time, 1% Temporary, and 2% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $61,829 per year, or $29.7 per hour.
Research, Mid-Training

Research, Mid-Training

Cognition

San Francisco, CA • On-site

Full-time

Posted 21 days ago


Key responsibilities

  • Design and iterate on high-quality data mixtures for late-stage and annealing training runs.

  • Develop and evaluate synthetic data pipelines that generate training signal at scale.

  • Research and optimize multi-stage learning rate schedules, warmup strategies, and compute allocation across training phases.


Job description

Job Summary:
Cognition is an applied AI lab focused on building end-to-end software agents. The role involves owning late-stage training decisions for AI models, emphasizing data quality, capability injection, and synthetic data research to enhance model performance.
Responsibilities:
• Design and iterate on high-quality data mixtures for late-stage and annealing training runs.
• Develop principled methods for sourcing, filtering, and weighting data to sharpen model capabilities without degrading general performance.
• Drive targeted improvements in coding, mathematics, and long-horizon reasoning through curated data strategies and training interventions.
• Translate research insights into measurable capability gains on our agents.
• Develop and evaluate synthetic data pipelines that generate training signal at scale.
• Understand the limits and failure modes of synthetic approaches and build methods that hold up in production training runs.
• Research and optimize multi-stage learning rate schedules, warmup strategies, and compute allocation across training phases.
• Understand how schedule choices interact with data distribution and model behavior.
• Research and implement methods for extending effective context length without degrading short-context performance.
• This includes positional encoding strategies, data construction, and targeted evaluation.
• Build evals that distinguish real capability improvements from benchmark overfitting.
• Close the loop between training decisions and what actually matters for Devin and our other systems in deployment.
• Measure how mid-training interventions scale with compute and data.
• Develop new approaches when existing methods hit ceilings; we expect both rigorous empiricism and original thinking.
Qualifications:
Required:
• Deep familiarity with the LLM training pipeline end to end: pre-training data, optimization, architecture, and how mid-training and post-training interact
• Hands-on experience with continual pre-training, annealing, or late-stage data mixing for large models
• Strong intuition for data quality: what makes a dataset useful for training, how to filter and curate at scale, and how data mix choices compound across evals
• Experience developing or evaluating synthetic data pipelines for capability improvement
• Proficiency in Python and deep learning frameworks (PyTorch); comfortable debugging distributed training at scale
• Strong fundamentals in optimization, statistics, and ML theory; able to distinguish real effects from noise, instability, and overfitting
• A track record of original contributions: publications, open-source impact, or internal results that moved a capability frontier
• Comfort operating in ambiguous, fast-moving environments where the problem definition is as important as the solution
• We care more about demonstrated capability than credentials. A PhD is one signal among many.
Company:
Cognition develops artificial intelligence systems for software engineering and code automation. Founded in 2023, the company is headquartered in San Francisco, USA, with a team of 51-200 employees. The company is currently Growth Stage.