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About Turing
Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises looking to deploy advanced AI systems. Turing accelerates frontier research with high-quality data, specialized talent, and training pipelines that advance thinking, reasoning, coding, multimodality, and STEM. For enterprises, Turing builds proprietary intelligence systems that integrate AI into mission-critical workflows, unlock transformative outcomes, and drive lasting competitive advantage.
Recognized by Forbes, The Information, and Fast Company among the world’s top innovators, Turing’s leadership team includes AI technologists from Meta, Google, Microsoft, Apple, Amazon, McKinsey, Bain, Stanford, Caltech, and MIT. Learn more at www.turing.com
Turing
powers
model
post-training
for
the
world’s
leading
AI
labs,
including
OpenAI,
Anthropic,
DeepMind,
Microsoft
AI,
Amazon,
Apple,
and
more.
We
do
this
by
building
comprehensive
evals,
large-scale
fine-tuning
datasets,
reinforcement
learning
environments,
and
benchmarks
to
measure
and
improve
model
capabilities
across
domains.
The
Code
team
at
Turing
specifically
focuses
on
advancing
end-to-end
software
engineering
capabilities
of
frontier
models
and
coding
agents
like
Codex,
Claude
Code,
Gemini
CLI.
This
includes
capabilities
across
the
software
development
lifecycle:
●
real-world
code
generation
(SWE-Bench-like
environments
across
programming
languages,
various
levels
of
complexity,
from
real
open-source
and
private
codebases)
●
ML
/
data
science
●
UI/design
to
code
●
terminal
use
(TerminalBench
type
data)
●
code
review
●
code
planning
/
reasoning
●
PR
writing
●
PRD
to
code
●
scientific
coding
/
simulations
●
open
ended
computer
use
for
software
tasks
(OSWorld
type
data)
●
and
more...
The
Role
The
Frontier
Data
Lead
–
Code
will
own
end-to-end
the
creation
of
datasets,
RL
environments,
and
evals
for
frontier
AI
labs
in
the
domain
of
coding
agents
and
software
engineering.
This
is
a
hands-on
technical
leadership
role
where
you
influence
revenue
directly
–
you
will
be
mapped
to
one
or
more
AI
labs
and
interface
directly
with
researchers
/
engineers
at
those l
abs
to
understand
their
needs
and
build
data
offerings
to
address
those
needs.
To
achieve
this,
you
will
build
and
manage
teams
of
software
engineers,
researchers,
QAs,
and
contractors/data-annotators
from
Turing’s
talent
pool
of
4M+
developers.
You’ll
be
responsible
for
delivering
projects
at
frontier
quality
and
scale—owning
data
quality,
throughput,
and
timely
delivery.
You’ll
define
and
manage
data
pipelines,
validation
workflows,
and
review
processes
to
ensure
datasets
meet
the
highest
standards
for
realism,
correctness,
and
diversity.
You’ll
also
develop
automations,
synthetic
data
generation
systems,
and
internal
tools
to
scale
production
efficiently.
In
short,
you’ll
run
your
project
like
a
startup
within
Turing,
owning
both
the
technical a
rchitecture
and
the
operational
execution
required
to
produce
best-in-class
datasets/environments/evals
to
make
the
world’s
best
coding
agents
and
models
even
better
at
real-world
coding
tasks
across
the
software
development
lifecycle.
What
you’ll
do
1.
End-to-End
Ownership:
Data
Quality,
Process
Design,
and
Team
Building
●
Lead
the
creation
of
datasets,
rl
environments,
and
evals
focused
on
Coding
Agents
/
Software
Engineering
for
one
or
more
AI
lab
customers.
●
Ensure
that
everything
you
ship
to
clients
meets
frontier
standards
for
realism,
correctness,
diversity,
and
difficulty.
●
Set
up
quality
rubrics,
automated
validation
scripts,
and
human
review
processes
for
every
stage
of
data
generation.
●
Build
and
lead
cross-functional
teams
of
software
engineers,
researchers,
QAs,
and
data
creators
drawn
from
Turing’s
4M+
developer
network.
●
Interview,
onboard,
train,
and
mentor
team
members
to
ensure
consistent
output
quality
and
technical
excellence.
2.
Collaborate
with
Researchers
at
Frontier
Labs
●
Act
as
the
primary
technical
point
of
contact
for
your
customer
projects,
interfacing
directly
with
researchers
and
engineers
at
frontier
AI
labs
to
understand
their
coding
agent
roadmap
and
model
data
needs,
to
gather
feedback,
and
to
co-define
success
criteria
for
your
projects.
●
Provide
regular
progress
updates,
surface
insights
from
model
evaluations,
and
incorporate
client
feedback
to
improve
future
iterations.
3.
Drive
Research,
Sales
Enablement,
and
Industry
Thought
Leadership
●
Fine-tune
models
in-house
on
Turing-generated
datasets
or
Turing-rl-environment
generated
trajectories
to
determine
model
improvement
as
a
proof
of
data
quality
●
Proactively
build
benchmarks
and
run
evals
on
frontier
models
and
coding
agents
to
identify
strengths
and
weaknesses
on
SWE
tasks,
and
leverage
these
insights
to
inform
product
roadmap
●
Equip
customer-facing
teams
with
the
Evaluation
reports,
sample
datasets,
and
trainings
to
enable
them
to
communicate
your
data
offerings
to
customers
most
effectively
●
Publish
research
papers
and
technical
posts
on
Turing’s
data
products,
innovations
in
our
synthetic
data
generation
/
automation
pipelines,
evaluations
of
frontier
agents
and
models,
and
Turing’s
model
fine-tuning
results
on
our
datasets.
4.
Build
Tools
and
Infrastructure
●
Oversee
development
of
internal
tools
that
accelerate
data
generation
and
verification
(e.g.,
automated
data
scraping
pipelines,
unit
test
generators,
repo
sandboxing).
●
Design
dashboards
and
APIs
for
customers
to
run
model
evals,
view
performance
reports,
and
integrate
Turing
data
directly
into
their
post-training
pipelines.
What
we’re
looking
for
●
Post-training
experience
on
SWE
tasks
or
experience
building
coding
agents:
We
expect
that
you
have
a
deep
understanding
of
data
ingredients
and
design
principles
that
lead
to
measurable
coding
model
improvements,
either
from
fine-tuning
models
to
improve
SWE
capabilities
or
building
your
own
coding
agents
to
improve
upon
SWE
capabilities
of
the
base
model.
●
Engineering
Management
experience:
have
led
teams
of
engineers
in
the
past,
including
interviewing/hiring
them
and
setting
up
QA
processes.
●
Hands-on
technical
capability:
Fluency
in
Python
and
proficiency
in
one
or
more
major
languages
(C++,
Java,
Go,
Rust,
or
JS).
●
Operational
leadership:
Proven
ability
to
manage
complex
data
pipelines,
multi-stakeholder
delivery,
and
concurrent
high-stakes
projects.
●
Cross-functional
communicator:
ability
to
communicate
clearly
with
researchers
at
frontier
AI
labs,
subject
matter
experts
for
various
domains,
and
diverse
teams.
●
Background
in
Computer
Science
,
Machine
Learning,
or
related
technical
field
preferred.
Why
Turing
1.
Work
directly
with
the
world’s
leading
AI
labs
and
enterprises
at
the
cutting
edge
of
post-training
and
RL
environment
design.
2.
Real
impact
(path
to
AGI):
your
datasets
and
environments
will
directly
influence
the
trajectory
toward
Artificial
General
Intelligence
and,
ultimately,
Superintelligence.
Coding
is
the
core
reasoning
substrate
of
intelligence—advancing
models’
ability
to
understand,
design,
and
write
code
is
effectively
advancing
their
capacity
for
logic,
planning,
and
abstract
thought.
3.
Real
Impact
(GDP):
automating
software
engineering
unlocks
one
of
the
largest
productivity
frontiers
in
history.
The
software
engineering
market
represents
trillions
in
global
GDP,
and
every
percentage
gain
in
automation
translates
to
profound
efficiency
and
innovation
benefits
across
all
industries.
4.
Talent-dense
team,
where
you'll
find
high
autonomy,
rapid
iteration,
and
an
exceptional
learning
curve.
Values:
- We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value.
- We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection
- We are Al forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity.
- Amazing work culture (Super collaborative & supportive work environment; 5 days a week)
- Awesome colleagues (Surround yourself with top talent from Meta, Google, LinkedIn etc. as well as people with deep startup experience)
- Competitive compensation
- Flexible working hours
Don’t meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
For applicants from the European Union, please review Turing's GDPR notice here.
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